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
Working Group Previews MIPI Specification for I/Os Over I3C Bridge
This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. At the recent MIPI Alliance Member Meeting in Berlin, members of the MIPI I/O Bridges Working
Andes Technology Unveils Next-Generation AI Solutions: AndesAIRE AnDLA I370 v2.0 and NN SDK v1.2.0 for Advanced ViT, VLM, and SLM at the Edge
Hsinchu, Taiwan – August 3, 2026 – Andes Technology, a leading supplier of high-performance, low-power 32/64-bit RISC-V processor cores and AI acceleration solutions, and a Founding Premier member of RISC-V International, proudly announces a major, synchronized
NovaEyeD: Real-Time Face Recognition on ST’s STM32N6
See NovaEyeD in action — ModelNova™’s production-ready Edge AI face recognition model — demonstrated live at the STMicroelectronics booth during the 2026 Embedded Vision Summit. In this demo, we walk through how NovaEyeD delivers efficient,
STMicroelectronics’ 3D direct ToF lidar module demo + Human detection application
Experience a live demonstration of the VL53L9CX, STMicroelectronics’ advanced 3D direct ToF lidar module, showcased at Embedded Vision. Delivering up to 2.3k zones and real-time streaming at up to 100 Hz, the system captures highly
Reinventing Belt Monitoring: How AI Detects Damage Before Failure
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. In industrial motor-driven systems, belts play a critical role in enabling the smooth and efficient transfer of mechanical
Image Quality Labs Introduces Hummingbird Global-Shutter Camera Platform for Raspberry Pi 5
Sony IMX900-based camera provides a practical platform for machine vision, robotics and embedded imaging development Image Quality Labs, Inc. (IQL) has introduced the Hummingbird, a Raspberry Pi camera platform built around Sony’s 3.2-megapixel IMX900
Squint Cognition Demonstration of Squint Vision Studio: AI Tooling and Watchdogs for Vision Models
Ken Wenger, Founder and CTO at Squint Cognition, demonstrates Squint Vision Studio, the company’s AI safety and performance tooling for vision-based systems, at the 2026 Embedded Vision Summit. Squint Vision Studio is built for anywhere
Squint Cognition Demonstration of Catching High-Confidence YOLO Errors in Real Time with Skittles
Ken Wenger, Founder and CTO at Squint Cognition, demonstrates the company’s squinting model technology at the 2026 Embedded Vision Summit. Using Skittles and M&Ms, Wenger shows where a standard YOLO object detection model confuses one
How Robot Fleets achieve Full Mission Autonomy – From ROS 2 Autonomous Docking to Self-Charging (Part 1)
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. True operational autonomy requires more than mapping since robots have stringent expectations to meet. They must
Technologies
Microchip Advances Edge AI Sensor Connectivity with Rev 2.0 PolarFire® FPGA Ethernet Sensor Bridge
h3>Smaller, multi-camera platform enables scalable Ethernet architectures for NVIDIA Edge AI systems while lowering power, cost and integration complexity CHANDLER, Ariz., August 11, 2026 — The shift toward compact, high‑performance edge AI systems is redefining sensor connectivity, pushing developers to deliver power‑ and space‑efficient architectures that remain secure, scalable and future‑ready. To address these challenges, Microchip
“Understanding Transformers: From LLMs to Context-Aware Multimodal Models,” a Presentation from Synopsys
Tom Michiels, System Architect at Synopsys presents “Understanding Transformers: From LLMs to Context-Aware Multimodal Models” at the May 2026 Embedded Vision Summit. Transformers have become the foundation of modern AI, reshaping how products are built and how businesses operate. In this talk Michiels explains why transformers replaced earlier models, what… “Understanding Transformers: From LLMs to
Your NPU Learned to Listen
Whisper runs end-to-end on Chimera. Encoder and decoder compiled as native GPNPU kernels, INT4 weights, FP16 attention, top-1 token match against the float32 reference. Scales to four cores with a flag, no recompile. This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. I ran a
Applications
NVIDIA Alpamayo 2 Super, the Frontier Open Model for Robotaxis and Autonomous Vehicles, Now Available for Commercial Use
Open commercial licensing, benchmark‑leading reasoning and inspectable decisions bring autonomous vehicles, including robotaxis, closer to production and widescale deployment. This news blog was originally published at NVIDIA’ website. It is reprinted here with the permission of NVIDIA. For robotaxis and other autonomous vehicles (AVs), the hardest problems aren’t the everyday scenarios. They’re the rare, complex situations that
“Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond,” a Presentation from Cadence
Amit Kumar, Director of Product Management and Marketing at Cadence and Amit Sulakhe, Director in the Vision Group at Cadence Pune present “Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond” at the May 2026 Embedded Vision Summit. Reliable localization and mapping are foundational for autonomous vehicles… “Exploring Radar SLAM: Advancing Localization
What are the Key Engineering Challenges in Autonomous Docking Systems and How are they Solved? (Part 2)
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Designing an ROS 2-based autonomous docking system is only half the story. Deploying it in the real world is another matter entirely. Since real industrial environments don’t cooperate with textbook assumptions, understanding these challenges will help
Functions
BrainChip Demonstration of the Company’s Always-On Radar-Based Edge Classification
Ritik Shrivastava, Solutions Architect at BrainChip, demonstrates Akida micro-doppler radar classification, a powerful radar-based object classification solution that runs entirely on-device without internet connection. Shrivastava showcases a live demo using BrainChip’s AKD1500 card attached to a Raspberry Pi, where the system detects and classifies between a bird and drone target in real time using radar.
AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the
SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI
Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual
