#beaglebone

[elecrow-electronics]

📢 #Elecrow Weekly #NewArrival Product Comes Here 👋 ⭐ Introducing the #CrowVision 7.0" IPS #TouchScreen, specially designed for all-in-one computer setups. Compatible with popular SBCs such as #RaspberryPi, #LattePanda, #Beaglebone, #JetsonNano, and more. 🔥 📌https://www.elecrow.com/crowvision-7-0-inch-touch-screen-capacitive-portable-hdmi-1024-600-ips-lcd-monitor-rear-fixing-for-raspberry-pi.html?utm_source=tumblr&utm_term=idd=2

[narke]

me at work recently: [legally distinct non-ip pcb rats nest image] i dont knowwwww

[kennak]

独立行政法人情報処理推進機構（IPA）および一般社団法人JPCERT コーディネーションセンター（JPCERT/CC）は12月6日、CODESYS GmbHが提供する複数のCODESYS Control製品にOSコマンドインジェクションの脆弱性が存在すると「Japan Vulnerability Notes（JVN）」で発表した。　Linux OSもしくはQNX OS上で動作するCODESYS Control runtimeには、OSコマンドインジェクション（CVE-2023-6357）の脆弱性が存在する。影響を受けるシステムは次の通り。・CODESYS Control for BeagleBone SL 4.11.0.0より前のバージョン・CODESYS Control for emPC-A/iMX6 SL 4.11.0.0より前のバージョン・CODESYS Control for IOT2000 SL 4.11.0.0より前のバージョン・CODESYS Control for Linux ARM SL 4.11.0.0より前のバージョン・CODESYS Control for Linux SL 4.11.0.0より前のバージョン・CODESYS Control for PFC100 SL 4.11.0.0より前のバージョン・CODESYS Control for PFC200 SL 4.11.0.0より前のバージョン・CODESYS Control for PLCnext SL 4.11.0.0より前のバージョン・CODESYS Control for Raspberry Pi SL 4.11.0.0より前のバージョン・CODESYS Control for WAGO Touch Panels 600 SL 4.11.0.0より前のバージョン・CODESYS Runtime Toolkit for Linux or QNX 3.5.19.50より前のバージョン　この脆弱性が悪用されると、当該製品のユーザによって、SysFileやCAA Fileのシステムライブラリを利用され、任意のOSコマンドを実行される可能性がある。　JVNでは開発者が提供する情報をもとに、最新版にアップデートするよ��呼びかけている。なお、CODESYS Runtime Toolkitは「CODESYS Runtime Toolkit 3.5.19.50」で脆弱性が修正されている。また、開発者はワークアラウンドの適用も推奨している。　この脆弱性情報は、株式会社ゼロゼロワンの早川宙也氏がJPCERT/CCに報告した。

複数の CODESYS Control 製品に任意の OS コマンドを実行される脆弱性 | ScanNetSecurity

[siliconsignalsblog]

Latest Trends and Innovations in Embedded Systems

 Embedded systems continue to revolutionize the way we interact with technology. From consumer electronics to industrial applications, the latest advancements in embedded systems are driving efficiency, connectivity, and performance like never before. In this blog, we delve into the latest trends and news shaping the embedded systems landscape in 2025.

1. The Rise of AI at the Edge

One of the most significant trends in embedded systems is the integration of artificial intelligence (AI) at the edge. Edge AI allows devices to process data locally, reducing latency and improving efficiency. This technology is particularly impactful in applications such as autonomous vehicles, smart manufacturing, and healthcare.

Recent developments include:

Enhanced processing power in microcontrollers (MCUs) and system-on-modules (SoMs) to support AI workloads.

Tools like TensorFlow Lite and PyTorch for optimized AI model deployment on edge devices.

Use cases such as predictive maintenance, real-time object detection, and voice recognition.

2. Matter Standard in IoT

The Matter standard is shaping the future of IoT by enabling seamless interoperability between smart devices. Embedded engineers are leveraging this standard to create smarter, more user-friendly products.

Key highlights:

Major players like Apple, Google, and Amazon adopting the Matter standard.

Increased focus on security and scalability for smart home and industrial IoT (IIoT).

Development of Matter-compliant devices to ensure compatibility across platforms.

3. Open-Source Hardware Gaining Momentum

Open-source hardware is enabling engineers and hobbyists to accelerate development cycles while reducing costs. Platforms like Raspberry Pi, Arduino, and BeagleBone remain popular, but new entrants are offering specialized solutions for complex embedded applications.

Noteworthy updates include:

Growth in community-driven projects for niche applications.

Availability of development kits with pre-configured software and hardware.

Increased adoption in education and prototyping.

4. Low-Power Design for Sustainability

Sustainability is becoming a cornerstone of embedded system design. Low-power solutions are critical for battery-operated devices, wearables, and IoT sensors, ensuring prolonged operational life and reduced energy consumption.

Recent breakthroughs:

Advanced low-power MCUs like the ARM Cortex-M series.

Innovative energy harvesting techniques for self-sustaining devices.

Design strategies focusing on dynamic voltage scaling and efficient power management.

5. Advances in Real-Time Operating Systems (RTOS)

Real-Time Operating Systems (RTOS) are crucial for time-sensitive applications, such as robotics, aerospace, and medical devices. Recent updates in RTOS focus on improved security, scalability, and ease of integration.

Notable advancements:

Enhanced support for multi-core processors.

Lightweight RTOS options for constrained devices.

Growing popularity of platforms like FreeRTOS and Zephyr.

6. Embedded Security Takes Center Stage

With the proliferation of connected devices, embedded security is more critical than ever. The latest security measures are aimed at protecting data and ensuring device integrity.

Recent updates:

Adoption of hardware security modules (HSMs) for cryptographic operations.

Implementation of secure boot and trusted execution environments (TEEs).

Compliance with standards like IEC 62443 for industrial security.

Conclusion

The embedded systems industry is evolving rapidly, with innovations driving smarter, more efficient, and secure solutions. Staying updated on these trends is vital for engineers, developers, and businesses aiming to remain competitive in this dynamic field. From Edge AI to sustainable designs, the future of embedded systems holds immense potential to transform industries and improve everyday life.

Stay ahead with our insights on embedded technology trends. Contact us today to explore how we can help bring your embedded vision to life!

[jamiesmithblog]

Custom AI Development Services - Grow Your Business Potential

AI Development Company

As a reputable Artificial Intelligence Development Company, Bizvertex provides creative AI Development Solutions for organizations using our experience in AI app development. Our expert AI developers provide customized solutions to meet the specific needs of various sectors, such as intelligent chatbots, predictive analytics, and machine learning algorithms. Our custom AI development services are intended to empower your organization and produce meaningful results as it embarks on its digital transformation path.

AI Development Services That We Offer

Our AI development services are known to unlock the potential of vast amounts of data for driving tangible business results. Being a well-established AI solution provider, we specialize in leveraging the power of AI to transform raw data into actionable insights, paving the way for operational efficiency and enhanced decision-making. Here are our reliably intelligent AI Services that we convert your vision into reality.

Generative AI

Smart AI Assistants and Chatbot

AI/ML Strategy Consulting

AI Chatbot Development

PoC and MVP Development

Recommendation Engines

AI Security

AI Design

AIOps

AI-as-a-Service

Automation Solutions

Predictive Modeling

Data Science Consulting

Unlock Strategic Growth for Your Business With Our AI Know-how

Machine Learning

We use machine learning methods to enable sophisticated data analysis and prediction capabilities. This enables us to create solutions such as recommendation engines and predictive maintenance tools.

Deep Learning

We use deep learning techniques to develop effective solutions for complex data analysis tasks like sentiment analysis and language translation.

Predictive Analytics

We use statistical algorithms and machine learning approaches to create solutions that predict future trends and behaviours, allowing organisations to make informed strategic decisions.

Natural Language Processing

Our NLP knowledge enables us to create sentiment analysis, language translation, and other systems that efficiently process and analyse human language data.

Data Science

Bizvertex's data science skills include data cleansing, analysis, and interpretation, resulting in significant insights that drive informed decision-making and corporate strategy.

Computer Vision

Our computer vision expertise enables the extraction, analysis, and comprehension of visual information from photos or videos, which powers a wide range of applications across industries.

Industries Where Our AI Development Services Excel

Healthcare

Banking and Finance

Restaurant

eCommerce

Supply Chain and Logistics

Insurance

Social Networking

Games and Sports

Travel

Aviation

Real Estate

Education

On-Demand

Entertainment

Government

Agriculture

Manufacturing

Automotive

AI Models We Have Expertise In

GPT-4o

Llama-3

PaLM-2

Claude

DALL.E 2

Whisper

Stable Diffusion

Phi-2

Google Gemini

Vicuna

Mistral

Bloom-560m

Custom Artificial Intelligence Solutions That We Offer

We specialise in designing innovative artificial intelligence (AI) solutions that are tailored to your specific business objectives. We provide the following solutions.

Personlization

Enhanced Security

Optimized Operations

Decision Support Systems

Product Development

Tech Stack That We Using For AI Development

Languages

Scala

Java

Golang

Python

C++

Mobility

Android

iOS

Cross Platform

Python

Windows

Frameworks

Node JS

Angular JS

Vue.JS

React JS

Cloud

AWS

Microsoft Azure

Google Cloud

Thing Worx

C++

SDK

Kotlin

Ionic

Xamarin

React Native

Hardware

Raspberry

Arduino

BeagleBone

OCR

Tesseract

TensorFlow

Copyfish

ABBYY Finereader

OCR.Space

Go

Data

Apache Hadoop

Apache Kafka

OpenTSDB

Elasticsearch

NLP

Wit.ai

Dialogflow

Amazon Lex

Luis

Watson Assistant

Why Choose Bizvertex for AI Development?

Bizvertex the leading AI Development Company that provides unique AI solutions to help businesses increase their performance and efficiency by automating business processes. We provide future-proof AI solutions and fine-tuned AI models that are tailored to your specific business objectives, allowing you to accelerate AI adoption while lowering ongoing tuning expenses.

As a leading AI solutions provider, our major objective is to fulfill our customers' business visions through cutting-edge AI services tailored to a variety of business specializations. Hire AI developers from Bizvertex, which provides turnkey AI solutions and better ideas for your business challenges.

[hydralisk98]

Zorua Maschen?

Follow-up home tech planning article for my creativity workshop / homestead / tech lab...

Devices on "Booksword" residential network

Ashur (personalized home power workstation from Tuxedo Computers)

Nineveh (three-in-one lightweight laptop/tablet/touchscreen from Tuxedo Computers)

Nimrud (libreware smartphone from either Pine64 or Librem)

Halab (homelab data storage, media-streaming & web-hosting server)

Kanesh (RISC-V SBC DevBoard from BeagleBone)

Harran (ARM Apple Silicon M2 Ultra/Max Copyleft Hackintosh?)

Babylon

Akkad

Nippur

Borsippa

Sippar

Opis

Hattusa

Knossos

Mycenae

Sumer

Paimon

Harmonia

Czarina

Perseus

[avenchsystem]

Turn key model

Unconventional Approaches in Embedded Hardware Design: What’s Really Changing?

The field of embedded hardware design has long been seen as highly specialized, with a focus on optimizing performance, reducing power consumption, and ensuring reliability. Traditionally, engineers followed well-established patterns, adhering to industry standards for board layout, component selection, and interfacing with software. However, in recent years, unconventional approaches are emerging, driven by new technology requirements and the need for more efficient, scalable, and adaptive systems. These shifts are not only reshaping the way we think about embedded systems but also pushing embedded hardware design companies to rethink their development strategies.

Rethinking Form Factors and Materials

One of the key areas where embedded hardware is evolving is in its physical form. Conventional designs have often been constrained by the standard dimensions of printed circuit boards (PCBs) and the limitations of traditional materials. However, advances in flexible and stretchable electronics are enabling entirely new possibilities for embedded hardware design projects.

These developments involve materials such as flexible substrates, which allow circuits to bend, twist, or fold without breaking. This can be crucial for applications in wearables, medical devices, and even certain aerospace technologies, where space and adaptability are critical. With these new form factors, embedded hardware becomes more versatile, accommodating designs that fit seamlessly into the human body, vehicles, or cramped industrial environments.

For embedded hardware design services, this shift means thinking beyond the rigidity of conventional components and adapting to a world where hardware needs to conform to increasingly demanding applications.

Open Hardware Platforms: A New Path Forward

Another significant trend shaping the embedded hardware design & development process is the adoption of open-source hardware platforms. While software development has seen a surge in open-source projects, hardware has been slower to embrace this trend. However, the growing interest in platforms like Arduino, Raspberry Pi, and BeagleBone is changing that landscape.

Open hardware platforms provide pre-designed, modular systems that can be customized for specific applications. This shift is lowering the barrier to entry for startups and smaller embedded hardware design companies, which may not have the resources to develop systems from scratch. By using open hardware, developers can quickly prototype ideas, reducing time to market while ensuring flexibility.

AI and Machine Learning at the Hardware Level

Artificial intelligence (AI) and machine learning (ML) are usually discussed in the context of software, but they are starting to play a role in embedded system hardware design as well. Traditionally, embedded systems relied on predefined algorithms for data processing. But with the integration of AI, hardware is becoming more adaptive, capable of adjusting itself in real-time based on environmental conditions or operational feedback.

Edge computing is a perfect example of where this trend is having a significant impact. Instead of sending all data to the cloud for processing, embedded systems can now handle complex AI tasks locally, thanks to more intelligent hardware architectures. These architectures are optimized to run AI models efficiently, without the need for heavy computational resources.

Power Efficiency Through Energy Harvesting

Embedded systems have always been designed with power efficiency in mind, particularly for applications where changing batteries frequently isn’t practical, such as remote sensing, medical implants, or IoT devices. Traditional power optimization strategies focus on minimizing energy consumption through low-power states or more efficient algorithms.

However, energy harvesting is emerging as a game-changer for embedded hardware design. By capturing energy from ambient sources like light, heat, or motion, devices can potentially operate indefinitely without external power sources. This capability drastically reduces maintenance costs and extends the operational life of embedded systems in remote or inaccessible locations.

Energy harvesting technology is still evolving, but it holds great promise. As more embedded hardware design companies integrate this technology into their designs, it could fundamentally change the way we think about powering devices in the future.

The Rise of Custom Silicon

Custom silicon, particularly application-specific integrated circuits (ASICs), is gaining traction in the embedded hardware design & development world. Instead of relying on general-purpose processors or microcontrollers, more companies are designing custom chips tailored to their specific needs. This approach allows for greater optimization, both in terms of performance and power efficiency, as the chip is designed precisely for the intended use case.

This trend is particularly evident in high-performance applications such as cryptocurrency mining, AI acceleration, and telecommunications, where standard off-the-shelf components can’t deliver the required performance. Custom silicon can also improve security, as companies can integrate hardware-level protections directly into the chip.

Cross-Disciplinary Collaboration

As embedded systems become more complex, embedded hardware design projects are increasingly benefiting from collaboration across multiple disciplines. Mechanical engineers, material scientists, software developers, and electrical engineers are working together more closely than ever before. This interdisciplinary approach allows teams to tackle problems holistically, considering all aspects of the system, from the physical constraints of the hardware to the software that drives it.

Cross-disciplinary collaboration also opens the door to more innovative solutions, as professionals from different fields bring unique perspectives and expertise to the table. This trend will continue to drive forward the capabilities of embedded hardware design, enabling more sophisticated and integrated systems.

Conclusion,

The embedded hardware design industry is undergoing a transformation as new materials, open platforms, AI integration, energy harvesting, custom silicon, and cross-disciplinary collaboration reshape the field. These unconventional approaches are pushing the boundaries of what embedded systems can achieve, offering more efficiency, adaptability, and intelligence. For companies involved in embedded hardware design services, staying ahead means embracing these changes and rethinking traditional approaches to meet the demands of future applications.

For more information on embedded product design companies in usa subscribe to our blog. For sales queries, contact us at +1 (775) 404-5757 or email sales@avench.com. We are here to assist you.

[sb-components]

Single Board Computers: Unveiling the Miniverse of Computing

In the realm of electronics, miniaturization has revolutionised the way we interact with technology. Single Board Computers (SBCs) stand as a testament to this transformative trend, encapsulating an entire computer system onto a single circuit board. These compact marvels have not only democratised computing but also opened up a plethora of possibilities for innovation and experimentation.

Demystifying Single Board Computers: A Comprehensive Overview

At its core, a Single Board Computer (SBC) is a fully functional computer system integrated onto a single printed circuit board (PCB). It comprises all the essential components of a traditional computer, including a central processing unit (CPU), memory, storage, and input/output (I/O) ports. Unlike conventional desktop computers that require assembly of separate components, SBCs offer a plug-and-play solution, making them ideal for embedded systems and DIY projects.

Types of Single Board Computers: A Spectrum of Choices

The world of SBCs is a diverse landscape, catering to a wide range of applications and user needs. Some of the most prominent SBC families include:

Raspberry Pi: A popular choice for beginners and hobbyists, the Raspberry Pi is known for its affordability, versatility, and extensive online community support.

Arduino: Renowned for its ease of use and focus on microcontroller programming, Arduino boards are widely used in educational settings and prototyping projects.

BeagleBone Black: A powerful and feature-rich SBC, the BeagleBone Black is favoured for its robust hardware, Linux operating system, and industrial applications.

Unlocking the Power of SBCs: How They Work

The operation of an SBC is essentially the same as that of a traditional computer. The CPU acts as the brain of the system, executing instructions and processing data. Memory stores temporary data and programs, while storage holds permanent data, such as the operating system and applications. I/O ports facilitate communication with external devices, such as keyboards, displays, and sensors.

A Universe of Applications: Where SBCs Shine

The versatility of SBCs makes them indispensable in a vast array of applications, spanning from education and hobbyist projects to industrial and commercial solutions. Some notable use cases include:

Robotics: SBCs are the backbone of many robotic systems, controlling movement, sensor data acquisition, and autonomous behaviour.

Home Automation: SBCs form the heart of smart home systems, enabling remote control of appliances, lighting, and security systems.

Industrial Automation: In industrial settings, SBCs are employed for machine control, data monitoring, and process optimisation.

Internet of Things (IoT): SBCs power a significant portion of IoT devices, collecting, transmitting, and analysing data from sensors and actuators.

Education and DIY Projects: SBCs serve as valuable learning tools, providing hands-on experience with programming, electronics, and embedded systems.

The Future of Single Board Computers: A World of Endless Possibilities

The evolution of SBCs continues to accelerate, with advancements in processor technology, power efficiency, and connectivity. As SBCs become more powerful and affordable, their impact is expected to expand even further, shaping the landscape of computing for years to come.

SBCs represent a paradigm shift in the way we interact with technology, empowering individuals and businesses to innovate, experiment, and create. Their compact size, versatility, and affordability have opened up a world of possibilities, making them an invaluable tool for education, prototyping, and a wide range of applications across industries. As technology advances, SBCs are poised to play an even more prominent role in shaping the future of computing.

[elecrow-electronics]

CrowVision, all-in-one computer, is coming soon on Crowd Suuply!😱💖

📢CrowVision, a 11.6" touch screen display module, is compatible with various SBCs, such as, Raspberry Pi, Beaglebone, Jetson Nano, etc 🚀Subscribe it on Crowd Supply and get its latest information! 📌https://www.crowdsupply.com/elecrow/crowvision

[billloguidice]

Starts at $1 - Book bundles on DIY Electronics with Arduino, Raspberry Pi, BeagleBone, and more!

Starts at $1 - Book bundles on DIY Electronics with Arduino, Raspberry Pi, BeagleBone, and more! #diy #electronics #arduino #raspberrypi #beaglebone #microcontrollers #sale #ebooks #ebook #book #books #electroniccircuits #humblebundle

Here’s the link to check out the bundle options and pay what you want!

Fun DIY electronics projects for you. Explore the world of DIY electronics with Arduino, Raspberry Pi, and BeagleBone! Build electronic circuits, microcontrollers, a mini keyboard, and much more with this bundle of ebooks from Wiley. Plus, your purchase will support the Python Software Foundation and Scratch Foundation!

[yuvaana-123]

Setting up BeagleBone: A Step-by-Step Guide

BeagleBone is a powerful, versatile single-board computer that can be used for a variety of applications, from IoT to robotics. However, setting up BeagleBone can be a daunting task for beginners. In this blog, we will guide you through the process of setting up BeagleBone, step by step.

Step 1: Choosing the Right BeagleBone Board

There are several types of BeagleBone boards available, each with its own set of features and capabilities. The most popular boards are BeagleBone Black, BeagleBone Green, and BeagleBone Blue. Choose the board that best suits your needs and budget.

Step 2: Preparing the SD Card

The next step is to prepare the SD card that will be used to boot the BeagleBone board. Download the latest version of the BeagleBone operating system from the official website and flash it onto the SD card using a tool like BalenaEtcher. Once the flashing process is complete, insert the SD card into the BeagleBone board.

Step 3: Connecting the BeagleBone Board to a Computer

Connect the BeagleBone board to a computer using a USB cable. You will need to install drivers for the board on your computer. The drivers can be downloaded from the official BeagleBone website.

Step 4: Powering On the BeagleBone Board

Connect a power supply to the BeagleBone board using a micro-USB cable. The BeagleBone board can be powered by a USB power supply or a 5V power supply with a barrel jack connector. Once the board is powered on, the LEDs on the board should light up.

Step 5: Accessing the BeagleBone Board via SSH

To access the BeagleBone board, open a terminal on your computer and type the following command:

ssh [email protected]

The default username for BeagleBone boards is "debian," and the default password is "temppwd." Once you have logged in, you can start using the BeagleBone board.

Step 6: Configuring the BeagleBone Board

Before you start using the BeagleBone board, you may need to configure it. You can configure the board by editing the configuration files located in the "/boot" directory. Some common configurations include setting up a Wi-Fi network, changing the hostname, and setting up SSH keys.

Step 7: Installing Additional Software

Depending on your project requirements, you may need to install additional software on the BeagleBone board. You can install software using the "apt-get" package manager, which is similar to the package manager used in Debian-based Linux distributions.

In conclusion, setting up BeagleBone requires a few simple steps. By following this step-by-step guide, you can quickly set up your BeagleBone board and start working on your projects. With its powerful hardware and flexible software, BeagleBone is an excellent choice for anyone looking to build IoT devices, robots, or other embedded systems.

[biggelectronics]

Beaglebone black vs Raspberry Pi 4 (simple guide)

Every day, it seems like a new single-board computer (SBC) is released. The Raspberry Pi, on the other hand, remains arguably the most popular maker board available. Nonetheless, Raspberry Pi alternatives like the RockPro64, ASUS Tinker Board, and Khadas VIM3L are excellent choices. BeagleBone consistently produces fantastic boards, ranging from the BeagleBone AI to the BeagleBone Black. BeagleBone boards outperform the Raspberry Pi due to their open design. Find out which maker board is better for you by comparing the BeagleBone Black and the Raspberry Pi 4!

What is raspberry pi?

The Raspberry Pi is from the Raspberry Pi Foundation. It is a single-board computer that is available in a variety of configurations. The Raspberry Pi Zero and Zero W are at the low end of the spectrum, designed for Internet of Things (IoT) projects. The Raspberry Pi 3 A+ and B+ then provide roughly comparable performance. Finally, the Raspberry Pi 4 provides excellent performance with features such as dual micro HDMI output with 4K capability, up to 8GB of LPDDR4 RAM, and a faster system-on-a-chip (SoC). The Raspberry Pi 4’s hardware refresh provides more and faster RAM, a better SoC, and true Gigabit Ethernet, resulting in a vastly improved maker board.

What is the BeagleBone Black?

The BeagleBone Black is a single-board computer with open hardware. While similar to the Raspberry Pi, the BeagleBone Black is aimed at a slightly different market. The BeagleBone Black is more of an engineering-focused board than a hobbyist board. The BeagleBone Black, for example, has dual 46-pin headers, 4GB of 8-bit eMMC, and a NEON floating-point accelerator. There are also two PRU 32-bit microcontrollers. Despite the fact that RAM is limited to 512MB of DDR3 RAM, the BeagleBone Black is a capable board. Aside from the standard BeagleBone Black.

check out the complete comparison between Beaglebone black vs Raspberry Pi 4

[pombworks]

BLOCKS modular Ambient Live Performance @ solfa tokyo

[bitstream24]

Exploring BeagleBone: Tools and Techniques for Building IoT And CAN Bus Applications Using Embedded Linux

Exploring BeagleBone is a hands-on guide to producing gadgets, gizmos, and robots employing the popular BeagleBone embedded Linux platform. Comprehensive content and in-depth detail present more than just a BeagleBone instruction manual; you also learn the underlying engineering techniques allowing you to build your projects. 

https://copperhilltech.com/blog/exploring-beaglebone-tools-and-techniques-for-building-iot-and-can-bus-applications-using-embedded-linux/