Embedded Hardware

 

  • System on Modules (SoM)
  • Single Board Computers (SBC)
  • Development Boards
  • Industrial PCs & Embedded Computers
  • IoT & Edge Computing Gateways
  • AI & Machine Learning Modules
  • Rugged & Industrial-Grade Components
  • Peripherals & Expansion Modules (Displays, Sensors, Power Modules)

High-Speed Automated Blood Testing Solutions with Embedded AI

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High-Speed Automated Blood Testing Solutions with Embedded AI

Source: Xiaojudeng Network Client: PerkinElmer Industry: Life Sciences Solution: Advantage Vision Camera, VisionPro Deep Learning Software, In-Sight Vision Software Challenges: • Quickly capture images of centrifuged blood sample tubes under spatial constraints • Convert these images into measurable height information for blood testing • Identify and classify the plasma layer after blood sample separation Results: … Read more

Overview of Domestic High-Performance AI Chips: Horizon’s L4 AI Chip Challenges NVIDIA

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Overview of Domestic High-Performance AI Chips: Horizon's L4 AI Chip Challenges NVIDIA

Embedded AI 1. What High-End Domestic AI Chips Are Available? | Frontline Original: https://baijiahao.baidu.com/s?id=1742745257605745466&wfr=spider&for=pc On September 1, news about restrictions on the sale of some overseas high-performance AI chips once again drew market attention to domestic AI chips. As industries such as data centers and autonomous driving accelerate their development, scenarios that demand high computing … Read more

Transforming Big Data into Smart Data with Embedded AI

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Transforming Big Data into Smart Data with Embedded AI

Industry 4.0 applications generate vast amounts of complex data—big data. With an increasing number of sensors and available data sources, there is often a demand for more detailed virtual views of machines, systems, and processes. This naturally increases the potential for added value along the entire value chain. However, questions about how to mine this … Read more

Four Emerging Trends Shaping Embedded AI

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Four Emerging Trends Shaping Embedded AI

Editor’s Note: This article is translated from eetimes, and the author Jeff Bier is the president of consulting firm BDTI, founder of the Edge AI and Vision Alliance, and chairman of the Embedded Vision Summit. 1/ In recent years, embedded computer vision and broader perceptual artificial intelligence have seen tremendous growth: using sensors and embedded … Read more

Quick Start Guide to Embedded AI Application Development with the Jianan K510

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Quick Start Guide to Embedded AI Application Development with the Jianan K510

The Baijun website’s quick start course on embedded AI application development is currently being serialized on Bilibili. Students can scan the QR code in the image below to learn the embedded AI application development course. The course is still being serialized, and the subsequent videos are expected to be updated next month. Course Introduction: This … Read more

Getting Started with Embedded AI: Deploying AI Models on RT-Thread

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Getting Started with Embedded AI: Deploying AI Models on RT-Thread

This issue shares the theme of how to deploy AI models onto embedded systems. The next issue will introduce how to run the Mnist Demo (handwritten digit recognition) on the RT-Thread operating system. Embedded AI AI Implementation has always been a promising and emerging industry. My curiosity is quite strong, so I want to try … Read more

Enhancing Smart Hardware Applications with Embedded AI Technology

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Enhancing Smart Hardware Applications with Embedded AI Technology

The emergence of embedded AI has been a recent phenomenon, but it has become a marketing hotspot in the market, playing a key role in the future product market share. Therefore, in industries such as smart homes, smart devices, automotive electronics, and robotics, embedded AI will certainly appear frequently. Embedded AI, which combines embedded systems … Read more

Analysis of the Android FART Unpacking Process

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Analysis of the Android FART Unpacking Process

1. Introduction On the Android platform, the Java code written by programmers is ultimately compiled into bytecode that runs on the Android virtual machine. Since Android came into the public eye, decompilation tools such as apktool and jadx have emerged one after another, becoming increasingly powerful. The bytecode compiled from Java has become vulnerable in … Read more

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