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
Upcoming Webinar on Industrial 3D Vision with iToF Technology
On February 18, 2026, at 9:00 am PST (12:00 pm EST), and on February 19, 2026 at 11:00 am CET, Alliance Member company e-con Systems in partnership with onsemi will deliver a webinar “Enabling Reliable
Right Sizing AI for Embedded Applications
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. We all know the AI revolution train is heading straight for the Embedded Station. Some of us are
Production Software Meets Production Hardware: Jetson Provisioning Now Available with Avocado OS
This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a
Google Adds “Agentic Vision” to Gemini 3 Flash
Jan. 30, 2026 — Google has announced Agentic Vision, a new capability in Gemini 3 Flash that turns image understanding into an active, tool-using workflow rather than a single “static glance.” Agentic Vision pairs visual
Proactive Road Safety: Detecting Near-Miss Incidents with AI Vision
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 the idea of near-miss incidents shapes proactive traffic safety programs Where near-miss detection
Robotics Builders Forum offers Hardware, Know-How and Networking to Developers
On February 25, 2026 from 8:30 am to 5:30 pm ET, Advantech, Qualcomm, Arrow, in partnership with D3 Embedded, Edge Impulse, and the Pittsburgh Robotics Network will present Robotics Builders Forum, an in-person conference for
OpenMV’s Latest: Firmware v4.8.1, Multi-sensor Vision, Faster Debug, and What’s Next
OpenMV kicked off 2026 with a substantial software update and a clearer look at where the platform is headed next. The headline is OpenMV Firmware v4.8.1 paired with OpenMV IDE v4.8.1, which adds multi-sensor capabilities,
NanoXplore and STMicroelectronics Deliver European FPGA for Space Missions
Key Takeaways: NanoXplore’s NG-ULTRA FPGA becomes the first product qualified to new European ESCC 9030 standard for space applications The product leverages a supply chain fully based in the European Union, from design to manufacturing
On-Device LLMs in 2026: What Changed, What Matters, What’s Next
In On-Device LLMs: State of the Union, 2026, Vikas Chandra and Raghuraman Krishnamoorthi explain why running LLMs on phones has moved from novelty to practical engineering, and why the biggest breakthroughs came not from faster
Technologies
Upcoming Webinar on CSI-2 over D-PHY & C-PHY
On February 24, 2026, at 9:00 am PST (12:00 pm EST) MIPI Alliance will deliver a webinar “MIPI CSI-2 over D-PHY & C-PHY: Advancing Imaging Conduit Solutions” From the event page: MIPI CSI-2®, together with MIPI D-PHY™ and C-PHY™ physical layers, form the foundation of image sensor solutions across a wide range of markets, including
What’s New in MIPI Security: MIPI CCISE and Security for Debug
This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. As the need for security becomes increasingly more critical, MIPI Alliance has continued to broaden its portfolio of standardized solutions, adding two more specifications in late 2025, and continuing work on significant updates to the MIPI Camera
Production-Ready, Full-Stack Edge AI Solutions Turn Microchip’s MCUs and MPUs Into Catalysts for Intelligent Real-Time Decision-Making
Chandler, Ariz., February 10, 2026 — A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in today’s industrial, automotive, data center and consumer Internet of Things (IoT) networks. Microchip Technology (Nasdaq: MCHP) has extended its edge AI offering
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 big problem—when the inspection AI misses something, even a tiny defect can spread across hundreds or thousands of products. One
Accelerating next-generation automotive designs with the TDA5 Virtualizer™ Development Kit
This blog post was originally published at Texas Instruments’ website. It is reprinted here with the permission of Texas Instruments. Introduction Continuous innovation in high-performance, power-efficient systems-on-a-chip (SoCs) is enabling safer, smarter and more autonomous driving experiences in even more vehicles. As another big step forward, Texas Instruments and Synopsys developed a Virtualizer Development Kit™ (VDK) for the
Into the Omniverse: OpenUSD and NVIDIA Halos Accelerate Safety for Robotaxis, Physical AI Systems
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. New NVIDIA safety
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
