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tescaglobal · 1 month ago

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Top Innovative STEM Lab Solutions for Schools and Colleges in 2025

In the ever-changing academic environment of today, education has no longer stayed tethered to books and lectures. Because of the real world, schools, colleges, and training institutions are heavily investing in Innovative STEM Lab Solutions to provide a balance between theory and practice. These modern setups have allowed students to hone their scientific, technological, engineering, and mathematical abilities through experimentation, problem-solving, and design thinking.

For those teachers, administrators, or institutions willing to update their infrastructure, the following are the main STEM lab solutions that will make a difference in 2025.

Modular lab stations

A modern STEM lab is, by definition, very flexible. Modular lab stations are perfect in a school where the space must sometimes be used for robotics, sometimes for chemistry, and sometimes for electronics. These stations usually have moving workbenches, moving storage, and integrated power supplies, making them perfect for interdisciplinary learning.

Why it works:

Efficient use of space

Facilitates teamwork and solo work

Adapting to different grade levels and projects

Robotics & Automation Kits

Being widely accepted in industries, automation is the need of the hour for STEM kits. Robotics kits consist of Programmable Robots, Sensors, Servo motors, and AI Integration kits that allow students to build their robots, program them, and control them.

Our Top Picks:

Arduino-based Robotics Platforms

LEGO® Education SPIKE™ Prime

Raspberry Pi + sensor modules

The kits offer an excellent opportunity to market coding and engineering skills in a manner that is both entertaining and practical.

FDM 3D Printers and Rapid Prototyping Setup

3D printers are no longer a luxury—they remain a must-have. They enable students to build their prototypes, test their mechanical models, and engage in product design. Increasingly, schools are embedding 3D printing into STEM pedagogy so that students can apply their knowledge to solve real-world problems.

Benefits:

Enhances spatial and design thinking

Promotes iteration and creativity

Encourages integration across various subjects (science and art, for instance)

Interactive Digital Boards and Simulation Tools

Chalk and blackboards are a thing of the past. Digital smart boards and simulation software enliven the abstract concepts of STEM, such as chemical reactions or circuit UML diagrams. Teachers have real-time data at their fingertips, can draw on touch screens, and engage students in solving problems together.

Combined with Arduino simulators, circuit design software like Tinkercad, or tools for virtual dissection, it makes the lab intelligent and fun.

IoT- and AI-Based Learning Modules

In 2025, IoT- and AI-based experiments will be part of every competitive mainstream STEM education. Cutting-edge labs are equipped with sensors, cloud dashboards, and microcontrollers to help students build all kinds of smart projects, such as home automation projects, temperature monitoring systems, or AI chatbots.

The solutions prepare the students to think beyond conventional science and prepare tech jobs of the future.

Curriculum-Aligned STEM Kits

Curriculum-aligned STEM kits, thus, remain relevant for teaching. These kits are uniquely designed to meet the lesson plans, experiment manuals, safety instructions, and real-world problem-based learning content required by the curriculum. They are made for specific classes and subjects with which CBSE, ICSE, IB, or state boards can identify.

Features to look for:

Subject-specific kits (Biology, Physics, Chemistry)

Safety compliance (CE, ISO certifications)

Teacher guides and student workbooks

Cloud-Based Lab Management System

Heading into 2025, cloud-based lab management platforms are becoming more and more popular. This allows instructors to track inventory, log student experiments, manage schedules, and upload student reports onto the cloud, thereby cutting down the paperwork and boosting the efficiency of the lab as a whole.

STEM-Learning Corners in Classrooms

These STEM corners in regular classrooms find favor with many schools, especially for the many that do not have the funds for the full-blown labs. Here little places house essential kits, puzzles, experiment tools, and DIY stations where students can entertain themselves exploring topics on their own.

This makes the STEM field much more approachable and far more interesting from an early age.

Conclusion

The year 2025 marks a decision point for investing in Innovative STEM Lab Solutions: choosing to invest is no longer an option but really a must. Through robotics kits, IoT modules, and modular workstations, these solutions pre-emptively prepare students for the future by instilling critical thinking, creativity, and problem-solving abilities.

If your institute is planning a STEM lab upgrade, select the supplier who understands academic requirements and contemporary technology trends. Tesca Global has earned recognition as a name offering second-to-none, affordable, and curriculum-aligned STEM lab solutions customized for schools, colleges, and universities worldwide.

#laboratory equipment suppliers #developers & startups #educational lab equipments #business #news #photography #technology

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differenttimemachinecrusade · 3 months ago

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Smart Space Market Competitive Analysis and Strategic Insights 2032

Smart Space Market size was valued at USD 13.7 billion in 2023 and is expected to grow to USD 45.9 billion by 2032 and grow at a CAGR of 14.4 % over the forecast period of 2024-2032

Smart Space Market is revolutionizing the way people interact with their surroundings by integrating IoT, AI, and automation. These intelligent environments enhance efficiency, security, and convenience across various sectors, including residential, commercial, and industrial spaces. With the rapid adoption of smart technologies, the market is witnessing unprecedented growth worldwide.

Smart Space Market continues to expand as businesses and consumers embrace connected environments. From smart homes and offices to intelligent retail spaces and healthcare facilities, the demand for automation and data-driven insights is driving innovation. With growing urbanization, energy efficiency concerns, and the need for seamless digital experiences, the adoption of smart spaces is becoming a necessity rather than a luxury.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3704

Market Keyplayers:

ABB Ltd (ABB Ability™ Smart Buildings, ABB Smart Sensors)

Siemens AG (Siemens Desigo CC, Siemens Building Technologies)

Cisco Systems Inc. (Cisco DNA Spaces, Cisco Meraki)

Honeywell International Inc. (Honeywell Vector Occupant App, Honeywell Building Management Solutions)

IBM Corporation (IBM Maximo, IBM TRIRIGA)

Microsoft Corporation (Azure Digital Twins, Microsoft Dynamics 365)

Adappt Intelligence Inc. (Adappt Workspace, Adappt Floorplan Management)

Schneider Electric (EcoStruxure™ Building Operation, EcoStruxure™ Energy Management)

Johnson Controls (Metasys® Building Management System, Johnson Controls Connected Services)

Spacewell Faseas (Spacewell IoT, Spacewell Workplace Management)

Market Trends Driving Growth

1. Integration of AI and IoT in Smart Spaces

Artificial Intelligence (AI) and the Internet of Things (IoT) are the backbone of smart spaces, enabling real-time monitoring, automation, and predictive analytics. AI-driven automation enhances building management, energy optimization, and security systems, making spaces more intelligent and efficient.

2. Rising Demand for Smart Homes and Workspaces

Consumers and businesses are investing in smart technologies to enhance comfort, security, and operational efficiency. Voice-controlled assistants, automated lighting and HVAC systems, and energy-efficient solutions are transforming modern homes and work environments.

3. Sustainability and Energy Efficiency

Smart spaces play a crucial role in energy conservation by optimizing resource usage. IoT sensors and AI-driven systems enable smart grids, automated lighting, and intelligent climate control, reducing energy waste and lowering carbon footprints.

4. Growth of Smart Cities and Infrastructure

Governments and urban developers are increasingly adopting smart space solutions to build sustainable cities. Smart transportation, connected buildings, and intelligent traffic management systems are enhancing urban living and infrastructure efficiency.

5. Increased Adoption of Digital Twin Technology

Digital twins—virtual replicas of physical spaces—are gaining traction in industries like real estate, manufacturing, and healthcare. They allow predictive maintenance, operational optimization, and real-time decision-making, improving overall performance and cost efficiency.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3704

Market Segmentation:

By Component

Solution

Services

By Premises Type

Commercial

Residential

Others

By Application

Energy Management and Optimization

Emergency Management

Security Management

Others

Market Analysis and Current Landscape

Key factors contributing to this growth include:

Advancements in AI and IoT: Innovations in machine learning, edge computing, and cloud-based platforms are fueling the development of smarter spaces.

Growing Urbanization and Smart City Initiatives: Governments are investing in smart infrastructure to improve city management and sustainability.

Rising Consumer Demand for Automation: The increasing preference for smart home devices, intelligent workspaces, and automated industrial setups is driving market expansion.

Security and Data-Driven Decision-Making: Smart spaces enable real-time data analytics for improved security, efficiency, and personalized experiences.

Despite the strong growth trajectory, the market faces challenges such as high implementation costs, cybersecurity concerns, and integration complexities. However, ongoing technological advancements and regulatory frameworks are addressing these issues, paving the way for a more connected future.

Future Prospects: What Lies Ahead?

1. Expansion of 5G and Edge Computing

The rollout of 5G networks and edge computing will enhance real-time data processing, enabling faster and more efficient smart space solutions. This will improve connectivity and responsiveness in smart cities, homes, and commercial environments.

2. AI-Driven Predictive Maintenance

AI-powered predictive analytics will allow smart spaces to detect maintenance issues before they occur, reducing downtime and improving asset longevity in industrial and commercial settings.

3. Enhanced Cybersecurity and Data Privacy Measures

As smart spaces collect and process vast amounts of data, robust cybersecurity frameworks will become essential. AI-driven threat detection and blockchain-based security solutions will play a critical role in safeguarding smart environments.

4. Integration with Augmented and Virtual Reality (AR/VR)

AR and VR technologies will enhance user interaction within smart spaces, revolutionizing areas such as virtual workplace collaboration, retail experiences, and smart home interfaces.

5. Personalized Smart Experiences

Future smart spaces will focus on hyper-personalization, using AI to analyze user preferences and behaviors. This will lead to tailored experiences in homes, offices, and commercial spaces, enhancing convenience and efficiency.

Access Complete Report: https://www.snsinsider.com/reports/smart-space-market-3704

Conclusion

The Smart Space Market is evolving rapidly, transforming the way people live and work. With AI, IoT, and automation at its core, smart spaces are becoming more intuitive, efficient, and sustainable. As investments in smart infrastructure, cybersecurity, and personalization continue, the market is poised for exponential growth. The future of smart spaces promises a seamless blend of technology and human interaction, redefining modern living and business environments.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

#Smart Space Market #Smart Space Market Share #Smart Space Market Analysis #Smart Space Market Scope #Smart Space Market Growth

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jcmarchi · 6 months ago

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Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility – Interview Series

New Post has been published on https://thedigitalinsider.com/boaz-mizrachi-co-founder-and-cto-of-tactile-mobility-interview-series/

Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility – Interview Series

Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility. Boaz is a veteran technologist and entrepreneur, holding over three decades of experience in signal processing, algorithm research, and system design in the automotive and networking industries. He also brings hands-on leadership skills as the co-founder and Director of Engineering at Charlotte’s Web Networks, a world-leading developer and marketer of high-speed networking equipment (acquired by MRV Communications), and as System Design Group Manager at Zoran Microelectronics (acquired by CSR).

Tactile Mobility is a global leader in tactile data solutions, driving advancements in the mobility industry since 2012. With teams in the U.S., Germany, and Israel, the company specializes in combining signal processing, AI, big data, and embedded computing to enhance smart and autonomous vehicle systems. Its technology enables vehicles to “feel” the road in addition to “seeing” it, optimizing real-time driving decisions and creating accurate, crowd-sourced maps of road conditions. Through its VehicleDNA™ and SurfaceDNA™ solutions, Tactile Mobility serves automotive manufacturers, municipalities, fleet managers, and insurers, pioneering the integration of tactile sensing in modern mobility.

Can you tell us about your journey from co-founding Charlotte’s Web Networks to founding Tactile Mobility? What inspired you to move into the automotive tech space?

After co-founding Charlotte’s Web Networks, I transitioned into a role at Zoran Microsystems, where I served as a systems architect and later a systems group manager, focusing on designing ASICs and boards for home entertainment systems, set-top boxes, and more. Then, a conversation with a friend sparked a new path.

He posed a thought-provoking question about how to optimize vehicle performance driving from point A to point B with minimal fuel consumption, taking into account factors like the weather, road conditions, and the vehicle abilities. This led me to dive deep into the automotive space, founding Tactile Mobility to address these complexities. We started as an incubator-backed startup in Israel, ultimately growing into a company on a mission to give vehicles the ability to “feel” the road.

What were some of the initial challenges and breakthroughs you experienced when founding Tactile Mobility?

One of our major early challenges was generating real-time insights given the vehicle’s limited resources. Vehicles already had basic sensors, but cars lacked insights into essential parameters like current vehicle weight, tire health, and surface grip. We tackled this by implementing new software in the vehicle’s existing engine control unit (ECU), which allowed us to generate these insights through “virtual sensors” that connected to the current vehicle setup and didn’t require additional hardware.

However, using the ECU to get the insights we needed presented as many problems as answers. An ECU is a low-cost, small computer with very limited memory. This meant our software originally had to fit within 100 KB, an unusual restriction in today’s software world, especially with the added complexity of trying to integrate machine learning and neural networks. Creating these compact digital sensors that could fit in the ECU was a breakthrough that made us a pioneer in the field.

Tactile Mobility’s mission is ambitious—giving vehicles a “sense of touch.” Could you walk us through the vision behind this concept?

Our vision revolves around capturing and utilizing the data from vehicles’ onboard sensors to give them a sense of tactile awareness. This involves translating data from existing sensors to create “tactile pixels” that, much like visual pixels, can form a cohesive picture or “movie” of the vehicle’s tactile experience on the road. Imagine blind people sensing their surroundings based on touch – this is akin to how we want vehicles to feel the road, understanding its texture, grip, and potential hazards.

How do Tactile Mobility’s AI-powered vehicle sensors work to capture tactile data, and what are some of the unique insights they provide about both vehicles and roads?

Our software operates within the vehicle’s ECU, continuously capturing data from various hardware sensors like the wheel speed sensor, accelerometers, and the steering and brake systems. Ideally, there will also be tire sensors that can collect information about the road. This data is then processed to create real-time insights, or “virtual sensors,” that convey information about the vehicle’s load, grip, and even tire health.

For example, we can detect a slippery road or worn-out tires, which improves driver safety and vehicle performance. The system also enables adaptive functions like adjusting the distance in adaptive cruise control based on the current friction level or informing drivers that they need to allow more distance between their car and the cars in front of them.

Tactile Mobility’s solutions enable vehicles to “feel” road conditions in real-time. Could you explain how this tactile feedback works and what role AI and cloud computing play in this process?

The system continuously gathers and processes data from the vehicle’s hardware sensors, applying AI and machine learning to convert this data into conclusions that can influence the vehicle’s operations. This feedback loop informs the vehicle in real-time about road conditions – like friction levels on varying surfaces – and transmits these insights to the cloud. With data from millions of vehicles, we generate comprehensive maps of road surfaces that indicate hazards like slippery areas or oil spills to create a safer and more informed driving experience.

Could you describe how the VehicleDNA™ and SurfaceDNA™ technologies work and what sets them apart in the automotive industry?

VehicleDNA™ and SurfaceDNA™ represent two branches of our tactile “language.” SurfaceDNA™ focuses on the road surface, capturing attributes like friction, slope, and any hazards that arise through tire sensors and other external sensors. VehicleDNA™, on the other hand, models the specific characteristics of each vehicle in real time – weight, tire condition, suspension status, and more (known in the industry as “digital tween” of the chassis). Together, these technologies provide a clear understanding of the vehicle’s performance limits on any given road, enhancing safety and efficiency.

How does the onboard grip estimation technology work, and what impact has it had on autonomous driving and safety standards?

Grip estimation technology is crucial, especially for autonomous vehicles driving at high speeds. Traditional sensors can’t reliably gauge road grip, but our technology does. It assesses the friction coefficient between the vehicle and the road, which informs the vehicle’s limits in acceleration, braking, and cornering. This level of insight is essential for autonomous cars to meet existing safety standards, as it provides a real-time understanding of road conditions, even when they’re not visible, as is the case with black ice.

Tactile Mobility is actively working with partner OEMs like Porsche, and the municipalities as City of Detroit. Can you share more about these collaborations and how they have helped expand Tactile Mobility’s impact?

While I can’t disclose specific details about our collaborations, I can say that working with original equipment manufacturers (OEMs) and city municipalities has been a long but rewarding process.

In general, OEMs can harness our data to generate critical insights into vehicle performance across different terrains and weather conditions, which can inform enhancements in safety features, drive assist technologies, and vehicle design. Municipalities, on the other hand, can use aggregated data to monitor road conditions and traffic patterns in real-time, identifying areas that require immediate maintenance or pose safety risks, such as slick roads or potholes.

What do you believe are the next major challenges and opportunities for the automotive industry in the realm of AI and tactile sensing?

The challenge of achieving accuracy in autonomous vehicles is likely the most difficult. People are generally more forgiving of human error because it’s part of driving; if a driver makes a mistake, they’re aware of the risks involved. However, with autonomous technology, society demands much higher standards. Even a failure rate that’s much lower than human error could be unacceptable if it means a software bug might lead to a fatal accident.

This expectation creates a major challenge: AI in autonomous vehicles must not only match human performance but far surpass it, achieving extremely high levels of reliability, especially in complex or rare driving situations. So we have to ensure that all of the sensors are accurate and are transmitting data in a timeframe that allows for a safe response window.

On top of that, cybersecurity is always a concern. Vehicles today are connected and increasingly integrated with cloud systems, making them potential targets for cyber threats. While the industry is progressing in its ability to combat threats, any breach could have severe consequences. Still, I believe that the industry is well-equipped to address this problem and to take measures to defend against new threats.

Privacy, too, is a hot topic, but it’s often misunderstood. We’ve seen a lot of stories in the news recently trying to claim that smart cars are spying on drivers and so on, but the reality is very different. In many ways, smart cars mirror the situation with smartphones. As consumers, we know our devices collect vast amounts of data about us, and this data is used to enhance our experience.

With vehicles, it’s similar. If we want to benefit from crowd-sourced driving information and the collective wisdom that can improve safety, individuals need to contribute data. However, Tactile Mobility and other companies are mindful of the need to handle this data responsibly, and we do put procedures in place to anonymize and protect personal information.

As for opportunities, we’re currently working on the development of new virtual sensors, one that can provide even deeper insights into vehicle performance and road conditions. These sensors, driven by both market needs and requests from OEMs, are tackling challenges like reducing costs and enhancing safety. As we innovate in this space, each new sensor brings vehicles one step closer to being more adaptable and safe in real-world conditions.

Another significant opportunity is in the aggregation of data across thousands, if not millions, of vehicles. Over the years, as Tactile Mobility and other companies gradually install their software in more vehicles, this data provides a wealth of insights that can be used to create advanced “tactile maps.” These maps aren’t just visual like your current Google maps app but can include data points on road friction, surface type, and even hazards like oil spills or black ice. This form of “crowdsourced” mapping offers drivers real-time, hyper-localized insights into road conditions, creating safer roads for everyone and significantly enhancing navigation systems.

Moreover, there’s an untapped realm of possibilities in integrating tactile sensing data more fully with cloud computing. While smartphones offer extensive data about users, they can’t access vehicle-specific insights. The data gathered directly from the vehicle’s hardware – what we call the VehicleDNA™ – gives a lot more information.

By leveraging this vehicle-specific data in the cloud, smart cars will be able to deliver an unprecedented level of precision in sensing and responding to its surroundings. This can lead to smarter cities and road networks as vehicles communicate with infrastructure and each other to share real-time insights, ultimately enabling a more connected, efficient, and safer mobility ecosystem.

Finally, what are your long-term goals for Tactile Mobility, and where do you see the company in the next five to ten years?

Our aim is to continue embedding Tactile Mobility’s software in more OEMs globally, expanding our presence in vehicles connected to our cloud. We expect to continue offering some of the most precise and impactful insights in the automotive industry throughout the next decade.

Thank you for the great interview, readers who wish to learn more should visit Tactile Mobility.

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twbcx · 1 year ago

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Personalizing User Experience in Retail Stores, by Rakesh Shukla, CEO at InStore™ by TWBcx™

Technologies and Workflows Personalizing User Experience in Retail Stores: - by Rakesh Shukla, CEO at InStore™ by TWBcx™: XaaS on Subscription™

Introduction

In the current competitive retail environment, tailoring the in-store experience is crucial for improving customer satisfaction, boosting sales, and fostering brand loyalty. This article investigates cutting-edge technologies that enable customized shopping experiences. We analyze technical specifics and operational processes, emphasizing how these innovations close the final gap to provide real-time recommendations and personalized interactions for shoppers

Front-End Technologies: Enhancing User Experience

1. Internet of Things (IoT)

IoT devices such as smart shelves, beacons, and RFID tags are essential for gathering data and providing real-time insights into customer behavior. These devices help retailers track inventory, monitor shopper movement, and send personalized offers directly to customers’ smartphones.

Technical Details:

Beacons: Small, battery-powered devices that use Bluetooth Low Energy (BLE) to transmit signals to nearby smartphones. When a customer with a store’s app comes within range, the beacon triggers a notification with a personalized offer.

Smart Shelves: Equipped with weight sensors and RFID readers, these shelves track product levels and customer interactions. They can alert staff when restocking is needed and provide real-time inventory data.

RFID Tags: Attached to products, these tags transmit data to RFID readers, allowing for precise inventory tracking and automated checkout processes.

Workflow:

Data Collection: IoT devices collect data on customer behavior, product interactions, and inventory levels.

Data Transmission: Data is transmitted in real-time to the central server via Wi-Fi or Bluetooth.

Processing and Analysis: The server processes this data, often in the cloud, using algorithms to detect patterns and trigger actions.

Personalized Interaction: Based on the analysis, personalized offers are sent to customers’ smartphones via the store app.

2. Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML algorithms analyze large datasets to provide personalized recommendations, optimize store layouts, and predict customer preferences. These technologies enable retailers to offer customized shopping experiences, such as personalized product suggestions and dynamic pricing.

Technical Details:

Recommendation Engines: Use collaborative filtering, content-based filtering, and hybrid methods to suggest products based on customer behavior and preferences.

Predictive Analytics: Analyzes historical data to predict future trends and customer needs.

Natural Language Processing (NLP): Enables AI-powered chatbots to understand and respond to customer queries in real-time.

Workflow:

Data Ingestion: Customer data from various sources (POS, CRM, IoT devices) is ingested into a data lake.

Data Processing: Data is cleaned, transformed, and loaded into a data warehouse.

Model Training: Machine learning models are trained on historical data to recognize patterns and make predictions.

Real-Time Inference: Trained models are deployed to production to provide real-time recommendations and dynamic pricing.

Customer Interaction: Personalized recommendations are displayed on digital screens, kiosks, or mobile apps.

3. Augmented Reality (AR) and Virtual Reality (VR)

AR and VR technologies create immersive shopping experiences, allowing customers to visualize products in different settings or try them on virtually. These technologies help bridge the gap between online and offline shopping experiences.

Technical Details:

AR Applications: Use smartphone cameras and AR software to overlay digital information on the physical world. Technologies like ARKit (iOS) and ARCore (Android) are commonly used.

VR Setups: Require VR headsets and controllers to create a fully immersive environment. VR applications are typically developed using platforms like Unity or Unreal Engine.

Workflow:

Content Creation: 3D models and AR/VR content are created and stored in a content management system.

Application Development: AR/VR applications are developed and integrated with retail systems.

Deployment: Applications are deployed to mobile devices or VR stations in the store.

User Interaction: Customers interact with AR/VR content, enhancing their shopping experience by visualizing products in different contexts or trying them on virtually.

4. Mobile Apps and Location-Based Services

Mobile apps with location-based services enable retailers to engage customers with personalized offers, product information, and in-store navigation. These apps use GPS, Wi-Fi, and Bluetooth to determine the customer’s location and provide relevant content.

Technical Details:

Location Services: Utilize a combination of GPS, Wi-Fi triangulation, and BLE beacons to accurately determine the customer’s location.

Push Notifications: Use Apple Push Notification Service (APNs) or Firebase Cloud Messaging (FCM) to send real-time notifications.

In-Store Navigation: Leverage indoor mapping and navigation SDKs like Mapwize or IndoorAtlas.

Workflow:

Location Detection: The mobile app detects the customer’s location using GPS, Wi-Fi, and BLE beacons.

Data Processing: Location data is processed to determine the nearest products or offers.

Content Delivery: Relevant content, such as promotions or navigation assistance, is delivered to the customer’s mobile device.

User Interaction: Customers interact with the app to receive personalized offers and navigate the store.

Back-End Technologies: Supporting Business Applications

1. Internet of Things (IoT)

Integration:

POS Systems: IoT devices can integrate with POS systems to update inventory levels in real-time.

CRM: Data collected from IoT devices can be fed into CRM systems to enhance customer profiles and tailor marketing efforts.

Technical Details:

Middleware: IoT middleware platforms like AWS IoT or Azure IoT Hub manage data flow between devices and enterprise systems.

Data Storage: IoT data is stored in scalable databases such as NoSQL (e.g., MongoDB) for fast processing and retrieval.

APIs: RESTful APIs facilitate communication between IoT devices and enterprise applications.

Workflow:

Data Collection: IoT devices collect data from the retail environment.

Data Transmission: Data is sent to the IoT middleware platform.

Data Storage: The middleware processes and stores the data in a database.

System Integration: APIs enable integration with POS and CRM systems, updating inventory and customer profiles in real-time.

Action Triggers: Based on predefined rules, actions such as restocking alerts or personalized promotions are triggered.

2. Artificial Intelligence (AI) and Machine Learning (ML)

Integration:

Inventory Management: AI can predict demand and optimize stock levels.

Customer Service: AI-powered chatbots and virtual assistants can provide personalized assistance to customers in-store.

Technical Details:

Data Pipelines: ETL (Extract, Transform, Load) processes ingest data from various sources into a data warehouse.

Model Deployment: Machine learning models are deployed using frameworks like TensorFlow Serving or AWS SageMaker.

API Endpoints: Models are accessed via REST or gRPC endpoints for real-time inference.

Workflow:

Data Ingestion: ETL pipelines collect data from POS, CRM, and IoT devices.

Data Processing: Data is processed and stored in a data warehouse.

Model Training: Machine learning models are trained using historical data.

Model Deployment: Trained models are deployed to the cloud or edge devices.

Real-Time Inference: Models provide real-time predictions and recommendations via API endpoints.

System Integration: AI insights are integrated with inventory management and customer service platforms to drive personalized experiences.

3. Augmented Reality (AR) and Virtual Reality (VR)

Integration:

Mobile Apps: AR features can be integrated into retail mobile apps to provide virtual try-ons and interactive product demos.

In-Store Displays: VR setups in-store can offer virtual tours and product visualizations.

Technical Details:

Content Management Systems (CMS): Store AR/VR content and manage updates.

SDKs and APIs: Use AR/VR SDKs (e.g., ARKit, ARCore) and APIs to integrate AR/VR capabilities into mobile apps.

Cloud Rendering: For complex VR experiences, cloud rendering services like AWS Gamelift can be used to offload processing from local devices.

Workflow:

Content Creation: Develop 3D models and AR/VR experiences using design tools like Blender or Maya.

Application Development: Integrate AR/VR content into mobile apps or standalone VR applications.

Deployment: Deploy applications to app stores or VR stations within the store.

User Interaction: Customers use AR apps on their smartphones or VR headsets to interact with virtual content.

Data Collection: User interaction data is collected and analyzed to refine AR/VR experiences.

4. Mobile Apps and Location-Based Services

Integration:

Loyalty Programs: Mobile apps can integrate with loyalty programs to offer personalized rewards and discounts.

In-Store Navigation: Apps can guide customers to products within the store, enhancing the shopping experience.

Technical Details:

Backend Services: Use cloud services (e.g., AWS Lambda, Google Firebase) to handle backend logic and data processing.

APIs: Integrate loyalty program APIs and indoor navigation SDKs with the mobile app.

Analytics: Implement analytics tools (e.g., Google Analytics, Mixpanel) to track user interactions and optimize app performance.

Workflow:

User Registration: Customers register and log in to the mobile app, linking their profile with the loyalty program.

Location Detection: The app uses GPS, Wi-Fi, and BLE beacons to determine the customer’s location within the store.

Content Delivery: The backend processes location data and delivers personalized content and navigation instructions to the app.

User Interaction: Customers interact with the app to receive personalized offers, rewards, and in-store navigation assistance.

Data Collection: User interaction data is collected and analyzed to improve the app’s features and user experience.

5. Data Analytics and Customer Insights

Advanced data analytics tools process customer data to generate actionable insights. Retailers can use these insights to understand shopping patterns, optimize store layouts, and tailor marketing strategies.

Technical Details:

Data Warehousing: Use scalable data warehouses like Amazon Redshift or Google BigQuery to store and analyze large datasets.

Analytics Tools: Leverage tools like Tableau, Power BI, or Looker for data visualization and reporting.

Machine Learning Platforms: Utilize platforms like Databricks or H2O.ai for advanced analytics and model training.

Workflow:

Data Ingestion: Data from various sources (POS, CRM, IoT devices) is ingested into a data lake.

Data Processing: ETL processes clean, transform, and load data into a data warehouse.

Analytics and Reporting: Use analytics tools to visualize data and generate reports.

Model Training: Train machine learning models to detect patterns and predict trends.

Insights Generation: Generate actionable insights and recommendations for store layout optimization and personalized marketing.

System Integration: Integrate insights with ERP and marketing automation systems to implement recommendations.

Current Trends and Future Outlook

Trends:

Omnichannel Integration: Seamless integration between online and offline channels to provide a unified customer experience.

AI-Driven Personalization: Increasing use of AI to deliver hyper-personalized shopping experiences.

Sustainable Practices: Leveraging technology to promote sustainable shopping and reduce waste.

Future Outlook:

In the ever-evolving landscape of retail, we anticipate increasingly sophisticated personalization techniques. These advancements could involve more advanced AI algorithms, widespread adoption of AR/VR, and deeper integration of IoT devices to establish a highly interconnected and personalized shopping environment. Leveraging technology can markedly enhance the in-store experience by delivering personalized recommendations and elevating customer satisfaction. When seamlessly integrating front-end and back-end systems, retailers can provide a cohesive and highly tailored shopping journey.

About: Rakesh Shukla is the founder of Avinya Innovations and Incubation. TWBcx™ XaaS CXM suite from Avinya allows businesses to deliver outstanding experiences throughout the customer journeys and customer touch points as a subscription! inStore™ is a product in the TWBcx™ suite that focuses on small & medium retail store formats. More information on inStore™ on https://instore.bargains/home/

#rakeshshukla #customerexperience #digitalcx #TWBcx #inStore #retail

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chandupalle · 2 years ago

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Sensor Fusion Industry worth $18.0 billion by 2028

The report "Sensor Fusion Market by Algorithms (Kalman Filter, Bayesian Filter, Central Limit Theorem, Convolutional Neural Networks), Technology (MEMS, Non-MEMS), Offering (Hardware, Software), End-Use Application and Region - Global Forecast to 2028" The sensor fusion market is projected to grow from USD 8.0 billion in 2023 to USD 18.0 billion by 2028, registering a CAGR of 17.8% during the forecast period. The market growth is attributed to the increasing demand for integrated sensors in smartphones and increasing demand for smart homes and building automation. Furthermore, the growing demand for advanced driver assistance systems (ADAS) and the deployment of autonomous vehicles is expected to create lucrative opportunities for the market.

Consumer Electronics end use applications accounted for a larger share of the sensor fusion market in 2023.

The consumer electronics segment is a major market for sensor fusion. A a wide range of consumer electronics devices use sensors, including smartphones, tablets, wearables, and gaming equipment. Sensor fusion technology is used in these devices to provide logically fused data from different sensors for various applications such as gesture recognition, image stabilization, navigation, and motion-based gaming.

Software is expected to grow at the highest CAGR in the forecast period.

The software segment is expected to grow at a higher CAGR during the forecast period. Sensor fusion software can be used in various applications, including robotics, autonomous vehicles, and virtual reality. In robotics, sensor fusion software combines data from sensors such as cameras, lidars, and sonars to create a more accurate representation of the environment, The robots can then use this information to navigate their surroundings and perform tasks. The process of sensor fusion can be implemented using AI-based and non-AI-based software.

Asia Pacific market accounted for the highest CAGR in the sensor fusion market during the forecast period.

Asia Pacific is projected to dominate the market and record the highest CAGR during the forecast period due to the increasing sensor fusion applications in several verticals, such as consumer electronics, autonomous vehicles, and medical. The market growth in the region is also expected to be driven by the increasing demand for sensor fusion in China, Japan, and India and for the growing use of sensor fusion in autonomous vehicle applications. China is expected to be the largest market for sensor fusion in the Asia Pacific. The reason for the highest growth for the sensor fusion market in APAC is that this region is one of the largest manufacturing hubs for consumer electronics and automobile production in the world, and the growing integration of sensor fusion systems in consumer electronics and automobile application systems will boost sensor fusion market in this region.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=71637844

Key players

Key players in the sensor fusion market include STMicroelectronics (Switzerland), InvenSense, Inc. (US), NXP Semiconductors N.V. (Netherlands), Infineon Technologies (Germany), Bosch Sensortec GmbH (Germany), Analog Devices, Inc. (US), Renesas Electronics Corporation. (Japan), Amphenol Corporation (US), Texas Instruments (US), and Qualcomm Technologies, Inc. (US), among others.

About MarketsandMarkets™

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The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem.Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research.The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

#Sensor Fusion Industry

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gbwhtspro · 2 years ago

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Elliptic Labs Signs First Chromebook Proof of Concept Contract with Existing Laptop Customer

OSLO, Norway–(BUSINESS WIRE)–Elliptic Labs (OSE: ELABS), a global AI software company and the world leader in AI Virtual Smart Sensors™, has signed its first Chromebook proof of concept agreement with an existing PC/laptop customer. This agreement will cover the implementation of Elliptic Labs’ AI Virtual Human Presence Sensor™ to provide human presence detection for potential use on the…

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powerelec · 3 years ago

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Elliptic Labs's AI virtual proximity sensor is on Black Shark gaming smartphones

Elliptic Labs’s AI virtual proximity sensor is on Black Shark gaming smartphones

Elliptic Labs, a specialist AI software company and the world leader in Virtual Smart Sensors™, is launching its AI Virtual Proximity Sensor™ on Black Shark’s latest gaming smartphones, the Black Shark 5, Black Shark 5 RS, and Black Shark 5 Pro. Working with Elliptic Labs’ partner Qualcomm, the Black Shark 5 is driven by the Snapdragon 870 chipset while the Snapdragon 8 Gen 1 powers the Black…

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marketsnmarkets39 · 3 years ago

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Potential Opportunity Worth ~USD 80 Bn Opening Up in Cloud Computing - Exclusive Research Study Published by MarketsandMarkets™

Disruption – With the advent of Hyperconvergence infrastructure, Disaster-Recovery-as-a-Service, the Rise of Containers, and the use of AI in cloud and data center is creating a potential opportunity worth ~USD 80 Bn. The global cloud computing market is expected to be valued at USD 947 Bn by 2026, owing to the increased adoption of hybrid cloud services, increased emphasis on multi-cloud strategy, and shift of enterprises toward the adoption of digital transformation and accelerating customer experience. By 2025, 70% of enterprise workloads will be running on the cloud infrastructure.

According to MarketsandMarkets™ analysis,

The cloud computing market is estimated to grow at a healthy CAGR of 16-17% in the coming 5 years, driven by the rising focus on delivering customer-centric applications for driving customer satisfaction.

North America, Europe, and APAC are expected to be the leading regions in terms of cloud computing adoption, innovation, and development.

There is ~USD 950 Bn potential within cloud computing service models, more than half of which is contributed by Software-as-a-Service.

MHealth, Internet of Medical Things, and remote patient monitoring are driving the growth of cloud computing opportunities in healthcare.

Currently, businesses have low access to primary intelligence to clarify some unknowns and adjacencies in these opportunity areas –

Storage automation technologies and usage of AI for storing and managing data in cloud. Blockchain storage structures are being used for cloud storage. Cloud storage will be in demand for storing real-time data feed from sensors and surveillance, medical imaging, data generated from wearables, autonomous vehicle, and V2V communication.

As businesses transitioned from office to remote operations, demand for remote desktop infrastructure and SaaS-based applications, Office 365, G Suite, Dropbox, Slack, Zoom, Salesforce CRM, and other business continuity and disaster recovery solutions surged.

Rise in demand for cloud-based collaboration and business continuity tools and services to support remote workforce. Surge in demand for Container platforms for application dev/dep, smart contract applications on cloud environment.

Emerging use cases - frictionless check-out, conversational AI, virtual fitting room to manage retail operations, with minimal human intervention. Companies are increasingly embracing AI and blockchain-based technologies to fight fraud and identity thefts.

As the effect of the pandemic in April 2020, IBM lowered its prices on bare metal servers across the globe and included up to 20TB of bandwidth with new competitive prices.

Some of the growth problems encountered by cloud computing companies are:

Customer prioritization and assessing unmet needs:

Identify emerging customer preference trends for cloud applications and identify current gaps in market.

What are the disruptions in our clients' businesses? How can we support them for our own growth?

What are the prominent use cases that would drive the cloud computing market in the next 5 years?

What are the key unmet needs of customers? Who are the key stakeholders in different settings? Do vendor selection criteria differ by settings? Which new product features should be added to the existing products?

Where to play:

Which service model should we focus on? Should it be SaaS, PaaS or IaaS? What are the emerging use cases in the cloud computing ecosystem?

Which regions should we place our bets on? What are the regional specific trends and developments that are shaping the adoption of cloud applications?

What are the key trends that will shape the cloud computing market in the future?

Building a compelling Right-to-Win (RTW):

For M&A, which are the right targets for us? Should we target solution providers or service providers? Should we enter new markets directly or through partners?

How can we differentiate from top players? What is their right-to-win vs ours?

Key uncertainties/perspectives which industry leaders seek answers to:

For cloud computing companies:

What application areas will be relevant and redundant in the next 5 years?

How does the architectural framework/business model/value chain of the edge computing market look like over the coming year?

What are the key differentiators/features we can add in our products to make more lucrative to our customers?

How can companies optimize the manufacturing processes to be more agile and efficient to achieve a more seamless workflow?

What regulatory policies can help strategize and achieve volumetric scale-up?

Which region is the largest in terms of market opportunities now and in the future?

For Companies in Adjacent markets:

What application areas will be relevant and redundant in the next 5 years?

How does the architectural framework/business model/value chain of the edge computing market look like over the coming year?

What are the key differentiators/features we can add in our products to make more lucrative to our customers?

How can companies optimize the manufacturing processes to be more agile and efficient to achieve a more seamless workflow?

What regulatory policies can help strategize and achieve volumetric scale-up?

Which region is the largest in terms of market opportunities now and in the future?

Therefore, MarketsandMarkets™ research and analysis focuses on high-growth markets and emerging technologies, which will become ~80% of the revenues of cloud computing players from the ecosystem in the next 5–10 years. It helps find blind spots in clients’ revenue decisions because of interconnections and unknowns that impacting clients and their client’s clients.

Download PDF Brochure @ https://www.marketsandmarkets.com/practices/pdfdownload.asp?p=cloud-computing

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 10,000 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their pain-points around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets's flagship competitive intelligence and market research platform, "KnowledgeStore" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact:

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Email: [email protected]

#Cloud Computing

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americanfreighttrucking · 6 years ago

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INNER BEAUTY AI Virtual Smart Sensor from Elliptic Labs Gives Full Screen and Cleaner Design to OnePlus 7 Series Smartphones

OSLO, Norway & NEW YORK–(BUSINESS WIRE)–The much-anticipated OnePlus 7 Series smartphones that debuted today in New York, London, and India featured a noticeably pristine design, thanks to innovative virtual sensor technology from Elliptic Labs. The INNER BEAUTY® AI Virtual Proximity Sensor™ uses sophisticated software to detect proximity, erasing the need for traditional hardware components…

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#Trucking News

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jeramymobley · 7 years ago

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CES 2018: Lenovo Reveals How #DifferentIsBetter

On Tuesday at CES in Las Vegas, Lenovo outlined its 2018 vision for technology innovations—a new portfolio of intelligent devices that will make reality better, from the pocket to the PC to the home, in keeping with its #DifferentIsBetter tagline (Create, tweak, improve, defy).

From pocket to PC to home, Lenovo’s CES 2018 lineup aims to make reality better with new devices to reshape the future with AI/AR/VR, intelligent technologies and powerful partnerships.

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Its presentation included an “Uncorporate Video” that communicated: “At Lenovo, we believe different is better. Different is why four of our devices are bought every second. Different landed us on the Fortune Global 500 and Interbrand’s 100 Best Global Brands list.”

Virtual reality (VR) gets even better with a new take on VR consumption and creation. The Lenovo Mirage™ Solo with Daydream™ headset offers one of the simplest ways of exploring VR experiences to date.

We have seen the future and it's really fun. #CES2018 #LenovoCES http://pic.twitter.com/qWLRwhsILB

— Lenovo (@lenovo) January 9, 2018

A more immersive and streamlined way to experience the best of what Daydream has to offer…norequired. Introducing @lenovo Mirage Solo with Daydream #CES2018 http://pic.twitter.com/ZIZ07AsICG

— Google VR (@googlevr) January 9, 2018

The headset brings immersive VR within the reach of mainstream consumers in a standalone, fully self-sufficient simple-to-use design. Use the Lenovo Mirage Camera with Daydream to capture life’s memorable moments and then relive them in 3D on the headset.

Capture your own 180° VR video with the Lenovo Mirage Camera with Daydream, then watch it on the Lenovo Mirage Solo headset. #LenovoCES #CES2018 https://t.co/eBKOS0sggc http://pic.twitter.com/mwgpoluYAB

— Lenovo (@lenovo) January 9, 2018

Capture, share, and relive photos & videos in #VR180 with the @Lenovo Mirage Camera. #CES2018 http://pic.twitter.com/4s9emPc3PU

— Google VR (@googlevr) January 9, 2018

Professionals too can transform their work through Augmented Reality (AR) with Lenovo C220 smart glasses. This monocular, light weight, hands free AR hardware and software experience leverages your smartphone’s capabilities to augment service tasks, training and more.

HERE WE GO! #CES2018 launch event right now with @Google, @Qualcomm and @Microsoft. Watch live: https://t.co/xlfSIdWuOe #LenovoCES http://pic.twitter.com/lvzovzJlvY

— Lenovo (@lenovo) January 9, 2018

At home, get a more personalized, convenient and shared technology experience with the Lenovo Smart Display that has the Google Assistant™ built-in.™ We’ve also added more brainpower to our laptops: the always on, always connected Miix 630 2-in-1 detachable gives you the mobility of a smartphone with LTE1 and up to 20 hours of battery local video playback2 with the full performance and the productivity you’d expect of a Windows® 10 S PC.

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ThinkPad ups its game with a revamped X1 line and customer-centric innovations on the X, T and L Series. We’re also bringing users an easier way to migrate files and settings from one PC to another, identify secure Wi-Fi networks and get PC diagnostics and support through one app with Lenovo Vantage, on our Windows 10 PCs. Whether it’s virtual, augmented or smarter features. Reality has never been so exhilarating.

Big day in Vegas. New tech flowing like booze in a Rat Pack movie. More at lnv.gy/ces #CES2018 #LenovoCES #Miix

A post shared by Lenovo (@lenovo) on Jan 8, 2018 at 8:49pm PST

Collaboration at its Best: New Moto Mods and a Developer Challenge with Indiegogo

Adding to the Moto Mods ecosystem, Motorola welcomed two new mods made by developers. The Vital Moto Mod features advanced sensor technology which allows you to easily measure your own five vital signs from one Moto Mod sized integrated device. Use your moto z to measure five vital health signs—heart rate, respiratory rate, Pulse Ox, core body temperature, and for the first time, accurate systolic and diastolic blood pressure from your finger.

New Moto Mod with blood pressure testing. Cool! #LenovoCES http://pic.twitter.com/qSRYaytXwm

— Cecilia Fok (@ceciliafok) January 9, 2018

A grand prize winner of the 2017 Transform the Smartphone Challenge with Indiegogo, the Livermorium Slider Keyboard Moto Mod gives you a full QWERTY slider keyboard and lets you tilt your moto z screen up to 60 degrees for the times when a touch screen can’t handle your typing needs. For developers inspired by the Moto Mods platform, Motorola and Indiegogo also re-launched the Transform the Smartphone Challenge, offering an opportunity to bring great ideas from concept to market.

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Better Together: Lenovo Mirage Solo with Daydream Headset + Lenovo Mirage Camera

VR is done differently with the Mirage Solo standalone VR headset and Mirage VR180 camera from Lenovo, allowing VR-curious crowds to consume and create content in an incredibly seamless way.

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Break free from wires, PCs or phones with the comfort and simplicity of the world’s first standalone Daydream headset. And be one of the first to immersive yourself with WorldSense™ motion-tracking technology on Google Daydream’s virtual reality platform.

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Using WorldSense, you can lean, dodge or duck through space naturally as you move through a large library of magical, reality-defying content. Based on the Qualcomm Snapdragon™ 835 VR platform, the Lenovo Mirage Solo delivers high-quality, immersive experiences. And you can make games even more lifelike with the wireless Daydream controller – baseball bat, steering wheel or whatever fits your chosen app.

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Now you can create your own VR content and then experience once-in-a-lifetime moments, on demand, with the Lenovo Mirage Camera with Daydream. This pocket-sized point-and-shoot camera simplifies the technology needed to capture 3D photos and videos with its dual 13 MP fisheye camera and its 180 x 180° field of view. We’re making the tools to make your own VR content accessible and fun.

The Lenovo Mirage Camera photos and videos can be uploaded to your personal Google Photos™ and YouTube™ account for viewing and sharing—watch on a standard browser on your Mirage Solo with Daydream headset or on most popular VR headsets you may already own. It comes equipped with the Qualcomm Connected Camera® Platform which features high-quality dual cameras, built-in WiFi and X9 LTE cellular modem in the LTE version.

New Glass C220 Solution Pairs Artificial Intelligence Learning & Augmented Reality

The Lenovo New Glass C220 system consists of a Glass Unit and Pocket Unit and works by recognizing and identifying real-life objects using AI technologies. The lightweight 60-gram Glass Unit runs on Android. You experience AR through one eye, while keeping the other on the real world. Download the LNV app (AH Cloud) to your smartphone and then plug the Pocket Unit into the phone. The New Glass C220 applies to a variety of work and learning scenarios, from letting you gather information in your field of view, to giving step-by-step directions and instructions for repair, identifying disabled equipment and trouble-shooting issues with a remote colleague all while keeping your hands free. The New Glass C220 is an AR wearable terminal device which features anti-noise interaction, mobile computing capacity, customized mods and more.

Lenovo NBD AH Cloud 2.0 is an enterprise SaaS platform based on AR, AI and big data technology. It can enhance the awareness and working ability of the field staff. AH Cloud does conforms to the concept of the Augmented Human, making it ideal for remote industrial maintenance, intelligent command and dispatch,3D diagnosis, intelligent tourism and other fields. The video communication system is based on Kepler technology including on-to-many two-way video; the workflow management system is based on titan technology, user can build and edit project without programing ability; and the intelligent detection system, based on martin technology, can do real-time object detection for multiple type of objects simultaneously after being trained using images.

Start and End Your Day Smarter with Lenovo Smart Display

Lenovo Smart Display with the Google Assistant built-in makes using technology at home more convenient, intuitive and shared. Make it the command hub for your connected smart home devices, from lighting to heating and more—controlled with your voice or touch. And use Google Assistant to show directions on Google Maps™, watch YouTube videos, video call your friends with Google Duo™, listen to music and more. The Lenovo Smart Display comes in 8-inch or 10-inch screen models and is powered by the Qualcomm® Home Hub Platform.

Lenovo Miix 630 Q2'18 $799. Three pillars of emulating the mobile phone experience in the computing world: 1. Always connected, always on; 2. Thin & light with 10nm Snapdragon 835; 3. 20 hours of battery life #CES2018 http://pic.twitter.com/V6iPp60lqE

— Eric Smith (@esmith_SA) January 9, 2018

Always On, Always Connected PC

We’re taking PC mobility up a notch with the Miix 630. This 2-in-1 detachable defies expectations of what a laptop can truly do. It gives you the flexibility and productivity of a Windows 10 S laptop with the always on, always connected mobility of a smartphone.1 Rely now on fast 4G LTE2 instead of Wi-Fi with up to 20 hours of local video playback.2 Built on Qualcomm Snapdragon 835 mobile Mobile PC platform, the Miix 630 is a 15.6 mm (0.6 in) thin and 1.33kg (2.93 lbs) light mobile companion. Equipped through Windows 10 S with Cortana® you can use your voice to access your personal digital assistant and use Windows Hello™ biometric facial recognition for more secure and convenient log-in.

Progressively Responsive & Smarter ThinkPad Line

The ThinkPad brand continues to redefine the gold standard in laptops for business professionals. We’re adding innovations in displays, privacy and connectivity across the X1 line to respond to the changing work environment. We’re giving the X1 Tablet a new 13-in design with 3K display and optional global LTE-A connectivity. On the X1 Carbon and X1 Yoga we’re enabling Amazon Alexa and adding a premium display with support for Dolby Vision HDR3 for unbelievable viewing and ThinkShutter Camera Privacy—no more sticky note covers needed. We’ve also added touchscreen models to the X1 Carbon – giving users even more to love about the world’s lightest 14-in business laptop – plus up to 15 hours of battery life.

Across the brand, the X280, X380 Yoga, T480, T480s, T580, L380, L380 Yoga, L480, L580 are getting upgraded. Notably, the X280, the road warrior’s machine, slims down to just 2.56 lbs while the T480 rewrites the corporate standard with new side docking, infrared camera, global LTE-A and an incredible 274 hours of battery life. The T480s combines performance and best-in-class weight, while the T580 give you faster memory, dual storage and new docking for uncompromised power.

When not on the go and looking for more screen real estate, the new Lenovo Thunderbolt™ 3 Graphics Dock lets you connect up to three 4K displays to select Lenovo PCs6 – simultaneously get panoramic viewing, a performance boost from discrete graphics and charge your PC. Upgrade your PC experience by connecting the IdeaPad™ 720S with a Lenovo Explorer immersive headset for Windows Mixed Reality7 through the graphics dock—letting you play VR games, travel the world through holo-tours and more.

That was fun. #LenovoCES #CES2018 http://pic.twitter.com/tTyiDmJe7G

— Lenovo (@lenovo) January 9, 2018

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