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 Last Mile Logistics
On January 28, 2026, at 11:00 am PST (2:00 pm EST) Alliance Member company STMicroelectronics will deliver a webinar “Transforming last mile logistics with STMicroelectronics and Point One” From the event page: Precision navigation is
HCLTech Recognized as the ‘Innovation Award’ Winner of the 2025 Ericsson Supplier Awards
LONDON and NOIDA, India, Jan 19 2026 — HCLTech, a leading global technology company, today announced that it has been recognized by Ericsson as the ‘Innovation Award’ winner in the 2025 Ericsson Supplier Awards. The award has
NAMUGA Successfully Concludes CES Participation, official Launch of Next-Generation 3D LiDAR Sensor ‘Stella-2’
Las Vegas, NV, Jan 15 — NAMUGA announced that it successfully concluded the unveiling of its new product, Stella-2, at CES 2026, the world’s largest IT and consumer electronics exhibition, held in Las Vegas, USA, from
Why Scalable High-Performance SoCs are the Future of Autonomous Vehicles
This blog post was originally published at Texas Instruments’ website. It is reprinted here with the permission of Texas Instruments. Summary The automotive industry is ascending to higher levels of vehicle autonomy with the help
Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Running advanced AI and computer vision workloads on small, power-efficient devices at the edge is a growing challenge. Robots,
Microchip Expands PolarFire FPGA Smart Embedded Video Ecosystem with New SDI IP Cores and Quad CoaXPress Bridge Kit
Solution stacks deliver broadcast-quality video, SLVS-EC to CoaXPress bridging and ultra-low power operation for next-generation medical, industrial and robotic vision applications CHANDLER, Ariz., January 19, 2025 —Microchip Technology (Nasdaq: MCHP) has expanded its PolarFire® FPGA smart embedded video ecosystem
What is a Stop Sign Violation, and How Do Cameras Help Prevent It?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. From suburban neighborhoods to rural highways, failure to comply with stop signs endangers pedestrians, cyclists, and
Top Python Libraries of 2025
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Welcome to the 11th edition of our yearly roundup of the Python libraries! If 2025 felt like the year of
Why Camera Selection is Extremely Critical in Lottery Redemption Terminals
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Lottery redemption terminals represent the frontline of trust between lottery operators and millions of players.
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
