Videos

OpenMV Demonstration of Python-Programmable AI Vision with the N6, AE3, and OpenMV IDE

OpenMV, Sensors and Cameras, Summit 2026, Videos /

Kwabena Agyeman, President of OpenMV, demonstrates the company’s latest embedded AI vision technologies and products at the 2026 Embedded Vision Summit. Specifically, Agyeman showcases the OpenMV IDE’s live camera tuning and machine vision development workflow, along with the new OpenMV N6 and OpenMV AE3 AI camera modules. The demonstration highlights how developers can rapidly build, […]

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NovaEyeD: Real-Time Face Recognition on ST’s STM32N6

Algorithms & Models, Processors, STMicroelectronics, Summit 2026, Videos /

See NovaEyeD in action — ModelNova™’s production-ready Edge AI face recognition model — demonstrated live at the STMicroelectronics booth during the 2026 Embedded Vision Summit. In this demo, we walk through how NovaEyeD delivers efficient, real-time face recognition directly on ST’s STM32N6 MCU, helping ST customers maximize the potential of their silicon. See what makes

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STMicroelectronics’ 3D direct ToF lidar module demo + Human detection application

Sensors and Cameras, STMicroelectronics, Summit 2026, Videos /

Experience a live demonstration of the VL53L9CX, STMicroelectronics’ advanced 3D direct ToF lidar module, showcased at Embedded Vision. Delivering up to 2.3k zones and real-time streaming at up to 100 Hz, the system captures highly detailed depth data with strong accuracy from short range up to nearly 9 meters. This all-in-one module integrates SPAD sensing,

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Squint Cognition Demonstration of Squint Vision Studio: AI Tooling and Watchdogs for Vision Models

Algorithms & Models, Squint AI, Summit 2026, Tools, Videos /

Ken Wenger, Founder and CTO at Squint Cognition, demonstrates Squint Vision Studio, the company’s AI safety and performance tooling for vision-based systems, at the 2026 Embedded Vision Summit. Squint Vision Studio is built for anywhere a confidently wrong perception model is a liability; inventory and loss prevention, industrial, agriculture, defense, aerospace. Costly at best, hazardous

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Squint Cognition Demonstration of Catching High-Confidence YOLO Errors in Real Time with Skittles

Algorithms & Models, Squint AI, Summit 2026, Videos /

Ken Wenger, Founder and CTO at Squint Cognition, demonstrates the company’s squinting model technology at the 2026 Embedded Vision Summit. Using Skittles and M&Ms, Wenger shows where a standard YOLO object detection model confuses one candy for the other; and does so with high confidence, offering no signal that anything is wrong. He then runs

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BrainChip Demonstration of the Company’s Always-On Radar-Based Edge Classification

BrainChip, Object Identification, Processors, Summit 2026, Videos /

Ritik Shrivastava, Solutions Architect at BrainChip, demonstrates Akida micro-doppler radar classification, a powerful radar-based object classification solution that runs entirely on-device without internet connection. Shrivastava showcases a live demo using BrainChip’s AKD1500 card attached to a Raspberry Pi, where the system detects and classifies between a bird and drone target in real time using radar.

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BrainChip AKD1500 Edge AI Co-Processor Demo: Ultra-Low Power AI Inference at the Edge

BrainChip, Processors, Summit 2026, Videos /

Tharak Krishnan, Director of Product Management at BrainChip, demonstrates the AKD1500 — BrainChip’s ultra-low power Edge AI Co-Processor — at the 2026 Embedded Vision Summit. Already deployed in real-world applications such as epileptic seizure prediction and drowning swimmer detection, the AKD1500 is purpose-built for use cases where power consumption and battery life are critical constraints.

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In-Situ Intelligent Mixed Reality Assistants for Adaptive Human-AI Collaboration

Algorithms & Models, OpenCV.org, Videos /

This video was originally published at OpenCV’s website. It is republished here with the permission of OpenCV. Our guest is Alireza Taheritajar, a Ph.D. Student an Augusta University focusing on In-Situ Intelligent Mixed Reality Assistants for Adaptive Human-AI Collaboration. Mixed-reality overlays have been around for awhile, but with the recent upgrades in camera quality, lens

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Smarter Wildfire Datasets: Pruning Redundancy and Fixing Labels in 3LC

3LC, Summit 2026, Tools, Videos /

Using 3LC’s visualization dashboard, we can quickly recognize patterns within the wildfire detection dataset and address ground-truth labeling inaccuracies. Firstly, by visualizing how images are distributed in the model’s latent embedding space, we can intelligently remove redundant scenes that are feeding the model duplicate information. Next, by applying filters to key prediction metrics we can

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3LC Hub: Data Management and AI Insights for Computer Vision & Physical AI

3LC, Summit 2026, Tools, Videos /

3LC Hub provides a centralized platform for managing and organizing the datasets that power AI systems. Using advanced data-centric AI algorithms, the platform continuously analyzes your data and surfaces actionable recommendations to identify labeling issues, uncover edge cases, improve data quality, and optimize model performance. Users can seamlessly launch into the appropriate views and workflows

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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