Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
Nota AI Demonstration of NetsPresso Optimization Studio, Streamlined with Visual Insights
Tairen Piao, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Piao demonstrates NetsPresso Optimization Studio, the latest enhancement to Nota
Nextchip Demonstration of a High Definition Analog Video Solution Using STELLA5
Jonathan Lee, Manager of the Global Strategy Team at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a high definition analog video
SiMa.ai and Macnica TecStar Company Announce Strategic Distribution Agreement to Accelerate Physical AI Adoption in Japan
SAN JOSE, Calif. and YOKOHAMA, Japan, July 29, 2025 /PRNewswire/ — SiMa.ai, the machine learning company delivering the industry’s first purpose-built software-centric MLSoC™ platform for the embedded edge, today announced a distribution partnership with Macnica,
Renesas Introduces 64-bit RZ/G3E MPU for High-performance HMI Systems Requiring AI Acceleration and Edge Computing
MPU Integrates a Quad-Core CPU, an NPU, High-Speed Connectivity and Advanced Graphics to Power Next-Generation HMI Devices with Full HD Display TOKYO, Japan, July 29, 2025 ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced
How to Run Coding Assistants for Free on RTX AI PCs and Workstations
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-powered copilots deliver real-time assistance for projects from academic projects to production code — and are optimized
Nextchip Demonstration of Various Computing Applications Using the Company’s ADAS SoC
Jonathan Lee, Manager of the Global Strategy Team at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates various computing applications using his
Microchip Technology Demonstration of Real-time Object and Facial Recognition with Edge AI Platforms
Swapna Guramani, Applications Engineer for Microchip Technology, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Guramani demonstrates her company’s latest AI/ML capabilities in action: real-time
Is End-to-end the Endgame for Level 4 Autonomy?
Examples of modular, end-to-end, and hybrid software architectures deployed in autonomous vehicles. Autonomous vehicle technology has evolved significantly over the past year. The two market leaders, Waymo and Apollo Go, both have fleets of over
CMOS Image Sensor Market to Reach More than $30B by 2030, Driven by Mobile, Automotive, and Security Applications
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group releases the 2025 edition of its imaging flagship report: Status
Technologies
The Role of Embedded Cameras in Ensuring Perimeter Security
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as
Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors
Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as
“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence
Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to plays an increasingly important role in
Applications
The Role of Embedded Cameras in Ensuring Perimeter Security
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as
Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors
Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as
Humanoids, AI Chips, and Autonomy in the Future of Robotics
Humanoids, AI Chips, and Autonomy. Co-habiting or working alongside robots with humanlike capabilities may no longer be a thing of science-fiction. Assembling car parts or doing the weekly shop may be smart tasks for collaborative robots, while robotaxis boast the independence possible with the latest developments in vehicle autonomy. IDTechEx‘s research into Robotics & Autonomy
Functions
The Role of Embedded Cameras in Ensuring Perimeter Security
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Any breach along the perimeter, from industrial plants to data centers, results in major threats. That’s why embedded vision is so important. Discover how cameras work in these systems, their must-have features, as well as
Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors
Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as
“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence
Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to plays an increasingly important role in
