#AI Sensors

[kbvresearch]

AI Sensors and Robotics: The Synergy of Automation

Artificial Intelligence (AI) Sensor technology is poised to transform the way we perceive and interact with the world around us. These intelligent sensors are ushering in a new era of automation, data-driven decision-making, and enhanced connectivity. In this blog, we will explore the incredible potential of AI sensors, their applications across various industries, and the challenges and…

[mindblowingscience]

Researchers have developed a sensor made from "frozen smoke" that uses artificial intelligence techniques to detect formaldehyde in real time at concentrations as low as eight parts per billion, far beyond the sensitivity of most indoor air quality sensors. The researchers, from the University of Cambridge, developed sensors made from highly porous materials known as aerogels. By precisely engineering the shape of the holes in the aerogels, the sensors were able to detect the fingerprint of formaldehyde, a common indoor air pollutant, at room temperature.

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[ecaico]

How (IIoT) Enhances Industrial Processes.

Artificial Intelligence (AI) is revolutionizing automation, making industries smarter and more efficient. In renewable energy, AI-driven control systems optimize power generation by predicting demand and adjusting output in real time. IIoT (Industrial Internet of Things) plays a crucial role by connecting intelligent sensors that monitor equipment, detect faults, and improve efficiency.

With advanced optimization techniques, AI enhances predictive maintenance, reducing downtime and operational costs. In manufacturing, AI-powered automation streamlines production, while in the energy sector, it ensures stable grid operations. The combination of AI, IIoT, and automation is shaping the future of industries, driving sustainability and innovation.

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[morgan-the-lonely-brick]

I hope the shrek movie looks different when they're done :((( this looks so much like ai i don't want to look at it. Fight or flight response triggered

I don't mind a style change as an idea but... not like this. Please...

[maiamaiden]

nowadays professors run essays through AI checking programs to check for people using AI to write them which is fair, unfortunate that it's come to this, but fair

but all that said, despite not using AI to write my essays this has caused a new fear to unlock

[artapir]

Trypophobia cyberturrets, mecha-nized memetic relatives of the BioTADS. Midjourney 6

[honestlyvan]

Thinking about image model generated art and gifmaking is giving me some weird vibrations about how there really is some weird association of the virtuesvirtues of a medium with the virtues of the people working in it. Gifmaking being associated with KPop fans doesn't make the concept of frame interpolation racist, and someone marketing themselves as a cheaper alternative to some other artist doesn't make the concept of generative art inherently class antagonistic.

It's somehow reminiscent of CJ the X's distinction between "stupid art" and "evil art", how a medium that has a low skill floor can produce things that are very stupid and easy to perceive as low-effort but how that's not the same as them having something wrong with them. If you look at my animation tag, most of it is motion graphics done with AfterEffects, and while it's probably wrong to call it a low skill floor program the way an AI art generator is... there is still a world where instead of programmatically telling shapes to whizz by on a screen, a different Van would have drawn those same animations frame by frame, producing exactly the same animation.

And I don't think the fact that I did them programmatically somehow invalidates the artistic intent that went into them, y'know? I could open AE right now and produce a 250x250 looping gif of clouds and while I know how to do that quick, to make it look good and to make me like it, I would have to spend time considering how the various elements, colours, timings and whatever the particle system/noise generator I use spits out fit together. I would have to fiddle with seeds and levels and timings to make it look good. I would have to spend a long time just staring and thinking about what I'm making before I could make it good.

I don't know enough about generative art tools to know how much fiddling goes into them once they're taught and ready to go, but I do know enough about deep learning to know it's a haphazard, frustrating process that you as the artist have only limited control over, which is why it doesn't appeal to me. But I have made gifs in the past, and I know how that process requires an eye for consistency and composition, framing and colour that a lot of other visual artists don't have because they're not working with time as one of the creative dimensions.

And like... who am I, from my high horse as someone in possession of these skills, to tell someone who is still developing these skills or who has a different aesthetic concept of what is good than me, what they're making is low-effort. That's not my judgement to make. I didn't make it. Only the artist themselves can say if somehing was low-effort or not. I don't see why I should have so little faith in other artists to assume they have no interest in putting in any effort.

[sideprojectillustration]

50 home automation icons. Check them out!

If you like them, tell a friend ♡ Side Project

[kramlabs]

“AI drone turned on operator after realising they stood in the way of its ‘higher mission’, US Air Force says”

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[lemon-film]

The Dyson Revolution: A New Era in Robot Vacuum Cleaners

🚀Take your cleaning to the next level with Dyson's 360 Vis Nav robot vacuum cleaner! The future is here and it's never been easier to keep your home spotless. #Dyson #robotvacuumcleaner

[sacredmindin]

The Sensor Savvy - AI for Real-World Identification Course

Enroll in The Sensor Savvy - AI for Real-World Identification Course and master the use of AI to detect, analyze, and identify real-world objects using smart sensors and machine learning.

[digitrenndsamr]

Machine Sensor Market to Observe Strong Development by 2032

Allied Market Research, titled, “Machine Sensor Market Size," The machine sensor market was valued at $16.5 billion in 2022, and is estimated to reach $35.8 billion by 2032, growing at a CAGR of 8.2% from 2023 to 2032.

A machine sensor is a device that can detect changes or variations in physical properties such as temperature, pressure, humidity, motion, vibration, and sound, among others. These sensors are integrated into machines to monitor their performance, detect faults or malfunctions, and optimize their operation. Machine sensors can be analog or digital, and they are often connected to a data acquisition system or a programmable logic controller (PLC) that can process and analyze the sensor data.  

Real-time monitoring is a common application of machine sensors, where they provide real-time data on the performance of machines. This enables operators to monitor their operations and make informed decisions based on the data they collect. Machine sensors are also essential components of automation systems, providing accurate and reliable data for the operation of robots and other automated equipment.  

Government regulations and initiatives are playing a significant role in driving the growth of the machine sensor market. These regulations and incentives are not only driving the adoption of machine sensors but also promoting innovation and encouraging the development of new applications and use cases for these sensors in various industries. For example, in the automotive industry, regulations such as the Corporate Average Fuel Economy (CAFE) standards are driving the adoption of sensors that monitor fuel consumption and emissions. Similarly, in the construction industry, regulations and incentives are promoting the use of sensors to monitor worker safety and reduce workplace accidents.  

However, the machine sensor market also faces challenges, such as limited applications. While machine sensors are increasingly being used in a variety of industries and applications, there are still some areas where their use is limited. This limitation can be due to factors such as extreme temperatures or harsh environments where certain sensors may not be suitable. To expand the use of machine sensors, manufacturers and suppliers may need to develop sensors that can withstand these extreme conditions or offer more specialized sensors for specific applications.  

On the other hand, the development of new technologies such as the Internet of Things (IoT) is creating opportunities for the machine sensor market. As more devices become connected, there is a growing need for sensors that can provide real-time data on machine performance and environmental conditions. These sensors can be used to optimize processes, improve energy efficiency, and monitor and control machine performance. As a result, the demand for IoT sensors is expected to grow significantly in the coming years, presenting a significant opportunity for the machine sensor market.  

The Machine Sensor Market Analysis offers a thorough assessment of machine sensor market trends, growth drivers, and the competitive landscape within the machine sensor industry. It highlights the growing acceptance of advanced sensor technologies like machine vision sensors, industrial sensors, and sensor networks across diverse sectors to enhance automation, improve efficiency, and achieve greater precision in operations.

The machine sensor market is segmented on the basis of type, end use industry, and region. By type, the market is divided into temperature sensor, pressure sensor, position sensor, proximity sensor, force & torque sensor, and others. By end use industry, the market is segregated into manufacturing, oil and gas, automotive, aerospace, healthcare, and others. By region, the market is analyzed across North America (U.S., Canada, and Mexico), Europe (UK, Germany, France, and rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and rest of Asia-Pacific) and LAMEA (Latin America, Middle East, and Africa).     

The key players profiled in the machine sensor industry include AB Elektronik Gmbh, ATI Industrial Automation, Inc., Baumer Group, FUTEK Advanced Sensor Technology, Inc., Honeywell International Inc., Infineon Technologies AG, OMRON Corporation, Sensata Technologies, Inc., TE Connectivity Ltd., and Tekscan, Inc.    

Country-wise, China holds a significant machine sensor market share due to the increasing adoption of Industry 4.0 technologies and automation in manufacturing processes. This has resulted in major organizations and government institutions in China investing heavily in the machine sensor industry. As a result, the country's prime sectors are intensely putting resources into the industry, which has strengthened the machine sensor market growth in the region. 

Key findings of the study 

In 2022, by type, the pressure sensor segment was held the highest machine sensor market size, amounting to $4,109.31 million, and is estimated to reach $9,514.09 million by 2032, with a CAGR of 8.85%. 

By end use industry, the manufacturing segment was the highest revenue contributor to the market, with $4,036.46 million in 2022, and is estimated to reach $9,380.34 million by 2032, with a CAGR of 8.89%. 

By region, Asia-Pacific was the highest revenue contributor, accounting for $7,097.6 million in 2022, and is estimated to reach $16,393.31 million by 2032, with a CAGR of 8.82%. 

The machine sensor market key players profiled in the report include AB Elektronik Gmbh, ATI Industrial Automation, Inc., Baumer Group, FUTEK Advanced Sensor Technology, Inc., Honeywell International Inc., Infineon Technologies AG, OMRON Corporation, Sensata Technologies, Inc., TE Connectivity Ltd., and Tekscan, Inc. The market players have adopted various strategies, such as product launches, funding, acquisitions, agreements, collaboration, expansion, and partnership, to expand their foothold in the machine sensor industry. 

[procurement-insights]

Will AI become the spreadsheets of the future?

[ajinkya-2012]

AI Sensor Market

[bitstream24]

The Industrial Internet of Things (IIoT): A Comprehensive Technical Report

Explore a comprehensive technical report on the Industrial Internet of Things (IIoT), covering key technologies, real-world applications across industries, benefits, challenges, and future trends.