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

Inuitive Demonstration of On-camera SLAM, Depth and AI Using a NU4X00-based Sensor Module
Shay Harel, Field Application Engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Harel demonstrates one of several examples his company presented at

SiMa.ai Raises $85M to Scale Physical AI, Bringing Total Funding to $355M
Maverick Capital Led the Oversubscribed Round with StepStone Group Joining as a New Investor SAN JOSE, Calif., August 1, 2025 – SiMa.ai, a pioneer in delivering purpose-built hardware and software solutions for Physical AI, today

Airy3D Demonstration of the Company’s Tiny but Mighty Passive Depth Sensing Technology and Products
Pier-Luc Tardif, Director of Business Development at Airy3D, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Tardif demonstrates DepthIQ, an elegant single-sensor, passive depth sensing

STMicroelectronics Demonstration of Real-time Object Detection and Tracking
Therese Mbock, Product Marketing Engineer at STMicroelectronics, and Sylvain Bernard, Founder and Solutions Architect at Siana Systems, demonstration the companies’ latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically,

Dense TOPS vs. Sparse TOPS: What’s the Difference?
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Not all TOPS are created equal — let’s demystify how TOPS measurement can reflect AI performance What

STMicroelectronics Demonstration of Real-time Multi-pose Detection
Therese Mbock, Product Marketing Engineer at STMicroelectronics, and Sylvain Bernard, Founder and Solutions Architect at Siana Systems, demonstration the companies’ latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically,

Nota AI Demonstration of Nota Vision Agent, Next-generation Video Monitoring at the Edge
Tae-Ho Kim, CTO and Co-founder of Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kim demonstrates Nota Vision Agent—a next-generation video monitoring solution

SiMa.ai Expands Strategic Collaboration with Synopsys to Accelerate Automotive AI Innovation
Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced

Robot-based Shelf Monitoring Cameras for Retail Operation Efficiency
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Robot-based shelf monitoring systems integrate camera systems with autonomous robotics. It helps ensure seamless inventory
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