Edge AI and Vision Alliance

Edge AI and Vision Alliance The Edge AI and Vision Alliance brings together technology providers with end-product & system devel

The Edge AI and Vision Alliance is a global partnership that brings together technology providers with end-product and system developers who are creating innovative and practical applications of computer vision. Our mission is to inspire and empower product creators to incorporate visual intelligence into new products and applications, and enable member companies to accelerate success in computer

vision by:

Bringing together suppliers, end-product designers, and partners to speed the adoption of computer vision in products

Delivering timely insights into market research, technology trends, standards and application requirements

Enabling companies to become more visible as thought leaders

The latest edition of Edge AI and Vision Insights is now live. Learn about AI and vision advances in healthcare, see pre...
02/18/2026

The latest edition of Edge AI and Vision Insights is now live. Learn about AI and vision advances in healthcare, see presentations on what's next in edge AI and save the date for upcoming industry events.

Subscribe to stay on the forefront of and .

  LETTER FROM THE EDITOR Dear Colleague, In this edition, we’ll cover an edge AI application domain that affects all of us: healthcare. Specifically, we’ll see how computer vision and agentic AI are performing real-time monitoring to transform our physical and mental health, and those of our el...

If you’re choosing between Sony Pregius IMX264 and IMX568, this comparison guide is worth a look—especially if your appl...
02/13/2026

If you’re choosing between Sony Pregius IMX264 and IMX568, this comparison guide is worth a look—especially if your application involves motion.

Both are in Sony’s global-shutter sensor family, but the practical difference is throughput: the IMX568 can deliver nearly ~2× the full-resolution frame rate versus IMX264, enabled by faster readout and the SLVS-EC high-speed interface. That can translate into clearer captures on fast-moving parts, more inspection throughput, or better tracking for robotics.

Guide: https://www.edge-ai-vision.com/2026/02/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 pushed for smaller pixel sizes to increase resolution in c...

If you work with cameras and image sensors, here’s a solid standards-focused webinar to put on the calendar:📅 Feb 24, 20...
02/11/2026

If you work with cameras and image sensors, here’s a solid standards-focused webinar to put on the calendar:

📅 Feb 24, 2026 | 🕘 9:00am PT / 12:00pm ET
MIPI webinar: “MIPI CSI-2 over D-PHY & C-PHY: Advancing Imaging Conduit Solutions”

They’ll cover what’s new in CSI-2, plus updates to the two main physical layers used to move image data efficiently:

Event-based sensing/processing support in CSI-2

D-PHY embedded clock mode

What’s coming next: dual-PHY macro support and multi-drop bus capability

Details/registration: https://www.edge-ai-vision.com/2026/02/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...

Shadows can make images look “wrong” and also hurt downstream vision tasks—but fixing them by just increasing brightness...
02/05/2026

Shadows can make images look “wrong” and also hurt downstream vision tasks—but fixing them by just increasing brightness usually washes out the whole scene.

This post shares a practical OpenCV-based shadow correction approach:

Convert to LAB + HSV so brightness and color are separated

Use Multi-Scale Retinex (on the L channel) to normalize illumination

Build a shadow mask from low luminance + low saturation, then clean it up with morphology and blur for smooth transitions

Use OpenCV trackbars to tune the parameters interactively for different lighting conditions

Read it here: https://www.edge-ai-vision.com/2026/02/enhancing-images-adaptive-shadow-correction-using-opencv/

This blog post was originally published at OpenCV’s website. It is reprinted here with the permission of OpenCV. Imagine capturing the perfect landscape photo on a sunny day, only to find harsh shadows obscuring key details and distorting colors. Similarly, in computer vision projects, shadows can...

If you missed a few things this week, here’s a quick catch-up: Edge AI & Vision Insights (Feb 4, 2026 edition) rounds up...
02/04/2026

If you missed a few things this week, here’s a quick catch-up: Edge AI & Vision Insights (Feb 4, 2026 edition) rounds up the most notable items across embedded vision, edge compute, robotics, and AI hardware/software.

Read: https://www.edge-ai-vision.com/2026/02/edge-ai-and-vision-insights-february-4-2026-edition/

LETTER FROM THE EDITOR Dear Colleague, Whether you’re at one of the big AI players making headlines, or trying to break out with a startup, many of our readers are on their own journey to scale—turning prototypes into robust products, moving from research workflows into production pipelines, and...

Robotics developers heading to Embedded World: there’s a dedicated Robotics Day that looks worth putting on the calendar...
01/29/2026

Robotics developers heading to Embedded World: there’s a dedicated Robotics Day that looks worth putting on the calendar.

The focus is practical and builder-oriented—hardware know-how, real application insights, and plenty of networking across the robotics ecosystem (sensors, compute, embedded platforms, and solution providers). If you’re working on robots that have to operate reliably in the real world, this is the kind of event where you can pick up useful implementation details and meet the right partners.

Details here: https://www.edge-ai-vision.com/2026/01/robotics-day-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 Day, an in-person conference for engineers and product teams. Qualcomm and D3 Embedded are members of the Edge AI and....

Robots trained only in simulation often stumble in the real world for a simple reason: simulated sensors are usually too...
01/28/2026

Robots trained only in simulation often stumble in the real world for a simple reason: simulated sensors are usually too perfect. Real sensors have noise, interference, and “invalid” readings—and policies need to learn to cope with that.

Analog Devices describes a practical approach: train an ML surrogate to emulate a high-fidelity indirect ToF (iToF) sensor simulator. The original pixel-level simulator was accurate but painfully slow (0.008 FPS). The surrogate (an MLP) predicts expected depth, uncertainty, and invalid pixels—and runs at 17 FPS while staying within ~1% error of the high-fidelity model.

They integrated it into Isaac Sim and even tuned NIR reflectivity to better match real sensor behavior—helping reduce the sim-to-real gap.

Read: https://www.edge-ai-vision.com/2026/01/faster-sensor-simulation-for-robotics-training-with-machine-learning-surrogates/

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex ta...

Free, 1-hour webinar coming up: “Why your Next AI Accelerator Should Be an FPGA”📅 March 17, 2026 | 🕘 9am PT / 12pm ETSpe...
01/26/2026

Free, 1-hour webinar coming up: “Why your Next AI Accelerator Should Be an FPGA”
📅 March 17, 2026 | 🕘 9am PT / 12pm ET
Speaker: Mark Oliver (VP Marketing & Biz Dev, Efinix)

What it covers:

•Why FPGAs can beat GPUs/NPUs when cost, latency, complex I/O, or power dominate
•FPGAs as a system integration + acceleration platform (sensor I/O, signal processing, pre/post, inference on one device)
•Two “easy on-ramps” (software-first custom instructions from C, plus a turnkey CNN block)
•Benchmarks + a decision checklist + “first experiment” plan

Details/registration: https://attendee.gotowebinar.com/register/688327717055141723?source=Alliance+Facebook+account

On March 17, 2026 at 9 am PT (noon ET), Efinix’s Mark Oliver, VP of Marketing and Business Development, will present the free hour webinar “Why your Next AI Accelerator Should Be an FPGA,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page:...

MIPS is making a play for physical AI (AI that has to perceive and act in the real world, in real time) with its new S82...
01/26/2026

MIPS is making a play for physical AI (AI that has to perceive and act in the real world, in real time) with its new S8200 accelerator.

The pitch: a software-first RISC-V–based NPU designed for on-device inference, with tightly coupled AI engines plus RISC-V application cores to handle both the neural workloads and the surrounding control/processing. MIPS also highlights a scaling path from tens to hundreds of TOPS by tiling coherent clusters, and mentions support across common ML frameworks.

More details here: https://www.edge-ai-vision.com/2026/01/meet-mips-s8200-real-time-on-device-ai-for-the-physical-world/

This blog post was originally published at MIPS’s website. It is reprinted here with the permission of MIPS. Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver...

AI is driving up memory costs in a way that’s starting to spill into everything else.This piece breaks down why DRAM pri...
01/23/2026

AI is driving up memory costs in a way that’s starting to spill into everything else.

This piece breaks down why DRAM prices keep rising: AI servers are consuming huge amounts of DDR5 and HBM, which pulls supply (and manufacturing priority) toward higher-margin parts—tightening availability and nudging prices upward across the broader market.

If you build edge AI / vision products, this matters because DRAM pricing and lead times can quickly become a hidden constraint on BOM cost, availability, and even product planning.

Read: https://www.edge-ai-vision.com/2026/01/why-dram-prices-keep-rising-in-the-age-of-ai/

As hyperscale data centers rewrite the rules of the memory market, shortages could persist until 2027. Strong server DRAM demand for AI data centers is driving memory prices higher throughout the market, as customers scramble to secure supply for their production needs amid fears of future shortages...

The Alliance’s Edge AI and Vision Insights Newsletter: January 21, 2026 Edition
01/21/2026

The Alliance’s Edge AI and Vision Insights Newsletter: January 21, 2026 Edition

  LETTER FROM THE EDITOR Dear Colleague, On Tuesday, March 3, the Edge AI and Vision Alliance is pleased to present a webinar in collaboration with The Ocean Cleanup. The Ocean Cleanup is on a mission to rid the world’s oceans of plastic. To do that, the team needs to know where plastic accumulat...

Free webinar coming up: “Cleaning the Oceans with Edge AI: The Ocean Cleanup’s Smart Camera Transformation”📅 March 3, 20...
01/20/2026

Free webinar coming up: “Cleaning the Oceans with Edge AI: The Ocean Cleanup’s Smart Camera Transformation”
📅 March 3, 2026 | 🕘 9am PT / 12pm ET | ⏱️ 1 hour

The Ocean Cleanup's Robin de Vries (ADIS — Autonomous Debris Imaging System lead) will share how they use edge AI + computer vision to convert raw ocean images into useful info right where it’s captured—in tough, remote marine conditions.

They’ll also get into the practical stuff engineers care about:

Hardware choices, power + thermal constraints

Model deployment + remote management

Tradeoffs and lessons learned moving from GoPros to production-ready smart cameras

Results so far and what’s next on their roadmap

Details + registration info: https://attendee.gotowebinar.com/register/2964268407992256853?source=Alliance+Facebook+account

On March 3, 2026 at 9 am PT (noon ET), The Ocean Cleanup’s Robin de Vries, ADIS (Autonomous Debris Imaging System) Lead, will present the free hour webinar “Cleaning the Oceans with Edge AI: The Ocean Cleanup’s Smart Camera Transformation,” organized by the Edge AI and Vision Alliance. Here....

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