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
What Does a GPU Have to Do With Automotive Security?
This blog post was originally published at Imagination Technologies’ website. It is reprinted here with the permission of Imagination Technologies. The automotive industry is undergoing the most significant transformation since the advent of electronics in
Ambarella to Showcase “The Ambarella Edge: From Agentic to Physical AI” at Embedded World 2026
Enabling developers to build, integrate, and deploy edge AI solutions at scale SANTA CLARA, Calif., — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that it will exhibit at Embedded World 2026,
Vision Components unveils all-in-one VC EvoCam with MediaTek processor
Ettlingen, February 18, 2026 — Vision Components is presenting the VCSBC EvoCam for the first time at embedded world, a new generation of all-in-one intelligent board-level cameras featuring the MediaTek Genio 510 processor. Measuring tiny
Pushing the Limits of HDR with Ubicept
This blog post was originally published at Ubicept’s website. It is reprinted here with the permission of Ubicept. Executive summary Ubicept’s SPAD-based system offers consistent HDR performance in nighttime driving conditions, preserving shadow and highlight
e-con Systems Launches DepthVista Helix 3D CW iToF Camera for Robotics and Industrial Automation
California & Chennai (February 17, 2026): e-con Systems, a global leader in embedded vision solutions, launches DepthVista Helix 3D CW iToF Camera, a high-performance depth camera engineered to deliver reliable and accurate 3D perception for wide range
A Practical Guide to Recall, Precision, and NDCG
This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. Introduction Retrieval-Augmented Generation (RAG) is revolutionizing how Large Language Models (LLMs) access and use information. By grounding models
Sony Pregius IMX264 vs. IMX568: A Detailed Sensor Comparison Guide
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The image sensor is an important component in defining the camera’s image quality. Many real-world applications
What Happens When the Inspection AI Fails: Learning from Production Line Mistakes
This blog post was originally published at Lincode’s website. It is reprinted here with the permission of Lincode. Studies show that about 34% of manufacturing defects are missed because inspection systems make mistakes.[1] These numbers show a
Technologies
TI Accelerates the Next Generation of Physical AI with NVIDIA
News highlights: TI and NVIDIA are collaborating to accelerate the path from simulation to the safe deployment of humanoid robots in the real world. As part of this collaboration, TI integrated its mmWave radar technology with NVIDIA Jetson Thor and NVIDIA Holoscan to enable low-latency 3D perception and safety awareness for physical AI applications. TI
ModelCat AI Announces AI Model Portability Across Silicon Devices
An industry first, ModelCat’s Agentic AI generates models for new chips using a user’s current production models, dramatically accelerating inferencing to the edge. SUNNYVALE, Calif., March 5, 2026 /PRNewswire/ — ModelCat, the creator of the world’s first fully autonomous AI model builder, today announced its latest innovative platform capability: Model Retargeting (Patent Pending). Using Model Retargeting, ModelCat customers gain model
STM32U3B5/U3C5: Bringing High-Performance DSP & Edge AI to Ultralow Power Designs
Built on the Arm® Cortex®‑M33 core, the STM32U3B5/U3C5 MCUs combine up to 2 Mbytes of dual‑bank flash memory with 640 Kbytes of RAM and are available in packages from 48 to 144 pins (UFQFPN, WLCSP, LQFP, and UFBGA). The lines introduce a hardware signal processor (HSP) to the STM32U3 portfolio, offloading complex DSP and edge‑AI workloads and
Applications
TI Accelerates the Next Generation of Physical AI with NVIDIA
News highlights: TI and NVIDIA are collaborating to accelerate the path from simulation to the safe deployment of humanoid robots in the real world. As part of this collaboration, TI integrated its mmWave radar technology with NVIDIA Jetson Thor and NVIDIA Holoscan to enable low-latency 3D perception and safety awareness for physical AI applications. TI
From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways How urban lighting and motion define robotaxi imaging needs Which camera features support reliable perception during day and night operation Why unified AI vision boxes reduce latency and coordination gaps How integrated vision platforms
Which Service Robots Will Dominate the Market in the Next 10 Years?
Logistics robots and cleaning robots both benefit from high market demand and relatively low technical barriers, compared to kitchen and restaurant robots or underwater robots. Source: Service Robots 2026-2036: Technologies, Players and Markets This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. The service robotics industry has grown
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
