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
Beyond the Bench: The Hard Truth About Robotics Automation in Logistics with Pickle Robotics
This video was originally published by Peridio. It is reprinted here with the permission of Peridio. In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Ari Eisenstein, co-founder and CTO
Vedya Labs Demonstration of Stable Diffusion Deployment on Cadence Tensilica DSPs
Suresh Pasupuleti, Managing Director of Vedya Labs, presents the company’s work in bringing Stable Diffusion-based image generation to DSP-centric embedded platforms. The demonstration showcases a nearly 500-million-parameter model running on the Axera AX650N SoC, with
Bolom Sound Classification on Cadence Tensilica HiFi 5
Mauricio Greene of Bolom demonstrates real-time Sound Classification running on the Cadence Tensilica HiFi 5 DSP at the Embedded Vision Summit. Bolom Acoustic Intelligence edge models identify hundreds of distinct sound events and soundscape scenes
When the Edge Is 400 Kilometers Up: AI, Space, and the Limits of Cloud Computing
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. The orbital community has reached the same conclusions that the broader edge AI industry has been articulating for years:
Chips&Media Signs APV codec IP Licensing Deal with North American Big Tech, Establishing the ‘Second Front’ Against Apple’s ProRes
Key Takeaways: World’s first independent APV HW IP ‘WAVE-P’ confirmed for flagship devices of a major North American client Following the Samsung-Qualcomm alliance, Chips&Media and North American Big Tech solidify APV as the industry standard
Pulling Back the Curtain on a Smarter, More Connected AI Future
At the 2026 Embedded Vision Summit, Boston AI CEO Peter Winston explores the latest advances shaping the future of AI. From intelligent agents to next-generation edge applications, he highlights how AI is evolving beyond task
Insight Mirror: The mirror that sees you. The mirror that knows you. The mirror that talks back.
At the 2026 Embedded Vision Summit, Dan Daogaru shows an interactive, AI-aware smart mirror designed to redefine customer engagement. The Insight Mirror is not just a reflection; it is a fully integrated, intelligent AI companion
HTEC White Paper Outlines the Convergence of Edge AI, Semiconductor Software, and Autonomous Systems
This content was originally published at HTEC’s website. It is reprinted here with the permission of HTEC. Physical AI at the Edge: Building the Full Stack for Real-World Deployment For years, AI progress was measured
ILLIUM AI Demonstrates AI Machine Vision with LIDAR Precision
At the 2026 Embedded Vision Summit, Luis Dussan and Adrian Kaehler show their system fusing real-time camera and LIDAR data at the edge to deliver precise spatial awareness without heavy cloud dependency or large data
Technologies
Secure Edge AI, High-Speed Vision and Power-Efficient Design With VectorBlox™
Microchip’s FPGA Engineer, Apurva Peri, shares the VectorBlox™ Accelerator SDK solution, which offers AI/ML Inference for PolarFire® FPGAs and SoCs. This software-based implementation enables AI deployment without reprogramming the FPGA, supports sparse networks using structured and unstructured compression and provides power-efficient inference and video pipelines delivering less than 5W power consumption. This Broad AI model
Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection
Swapna Gurumani from Microchip’s Edge AI business unit demonstrates the company’s facial recognition with liveness detection solution at the 2026 Embedded Vision Summit. The demo shows how Microchip’s Edge AI technology enables secure, real-time identity verification using a single RGB camera and on-device processing. The solution combines facial recognition with liveness detection to help identify
From Silicon to Ecosystems: The New Edge AI Competitive Model
This blog post was originally published at Macnica America’s website. It is reprinted here with the permission of Macnica America. For years, silicon providers have benefited from a well-established stakeholder ecosystem of traditional sales, direct markets and customer solutions that have been pioneering the physical AI deployment. Today, that success requires a lot more work. Silicon
Applications
Microchip Demonstrates Secure Edge AI Facial Recognition with Single-Camera Liveness Detection
Swapna Gurumani from Microchip’s Edge AI business unit demonstrates the company’s facial recognition with liveness detection solution at the 2026 Embedded Vision Summit. The demo shows how Microchip’s Edge AI technology enables secure, real-time identity verification using a single RGB camera and on-device processing. The solution combines facial recognition with liveness detection to help identify
NXP Tech Days Comes to Silicon Valley
NXP Semiconductors will host “NXP Tech Days,” on August 18, 2026, from 9:00 am to 6:00 pm PDT in Santa Clara, California. The event will feature hands-on workshops, expert-led sessions, and real-world insights across embedded systems, edge AI, connectivity, and security. From the event page: The Future, Engineered During the general session, discover how NXP
Mistral’s 8B Robostral Navigate Steers Robots Using a Single RGB Camera
Mistral AI has introduced Robostral Navigate, an 8-billion-parameter embodied navigation model designed to move robots through unfamiliar environments using natural-language instructions and images from a single RGB camera. Unlike many vision-language navigation systems, it does not require LiDAR, depth sensing or a panoramic multi-camera rig. On the R2R-CE validation-unseen benchmark, Mistral reports a 76.6% success
Functions
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
TLens vs VCM Autofocus Technology
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we’ll walk you through how TLens technology differs from traditional VCM autofocus, how TLens combined with e-con Systems’ Tinte ISP enhances camera performance, key advantages of TLens over mechanical autofocus systems, and applications
