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
MagikEye ILT Enables Real-Time Robot Navigation and Obstacle Avoidance
Watch a mobile robot powered by MagikEye’s Invertible Light™ Technology (ILT) navigate autonomously while detecting and avoiding obstacles in real time. This demonstration highlights how ILT delivers low-latency depth perception using a compact, power-efficient sensor
Smart Sensor Demo: On-Device Object Detection with Lattice CertusPro™-NX
Lattice Semiconductor demonstrates how the CertusPro-NX FPGA bridges an image sensor to a Raspberry Pi, performing on-device pre-processing and object detection before passing data to the host CPU. Sensor frames at 30 fps are fed
Why Memory Capacity is the Real Performance Bottleneck in Agentic AI Workstations
This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. As AI agents become long lived and concurrent, memory capacity, not just compute, has emerged as
“From YOLO to SAM: Segmentation Models on Real Edge Hardware,” a Presentation from Au-Zone Technologies
Sébastien Taylor, VP of R & D at Au-Zone Technologies presents “From YOLO to SAM: Segmentation Models on Real Edge Hardware” at the May 2026 Embedded Vision Summit. Segmentation is fundamental to edge vision—from drivable
Run Ultralytics YOLO on Axelera AIPUs in Minutes
This blog post was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Trying new AI hardware typically means weeks of integration work before you can tell if the
Microchip Expands Developer Access with Free MPLAB® XC Compilers and MPLAB Machine Learning Development Suite
CHANDLER, Ariz., July 8, 2026 — Microchip Technology (Nasdaq: MCHP) has announced that its MPLAB® XC Pro Compilers and MPLAB Machine Learning (ML) Development Suite are now available at no cost to customers. By enabling unlimited installs across individual and team environments, these
Ebttikar and MemryX Form Strategic Partnership to Accelerate Computer Vision Edge AI Across Saudi Arabia
RIYADH, Saudi Arabia, July 9, 2026 /PRNewswire/ — Ebttikar Technology Company, a Saudi technology solutions provider and systems integrator, and MemryX Inc., a developer of edge AI inference accelerator chips, today announced a strategic partnership to accelerate
Free Webinar on Designing Computer Vision for the Far Edge
On September 24, 2026 at 9 am PT (noon ET), Nicolas Widynski, AI Fellow at Lattice Semiconductor, will present the free hour webinar “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,”
Upcoming Webinar on Agentic Smart City Systems
On July 29, 2026 at 10:00 am PT (1:00 pm ET), Intel will present the webinar “Agentic Smart City Systems: Real-Time Traffic Orchestration.” Here’s the description, from the event registration page: Beat congestion, save time,
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
