Technology Showcase

Synetic Demonstration of Synthetic Training Data for Computer Vision Edge Case Coverage

David Scott, CEO & Founder at Synetic, makes the case for synthetic training data as the most practical solution to edge case coverage in computer vision at the 2025 Embedded Vision Summit. Real-world data collection is slow, expensive, and structurally unable to capture the rare but critical scenarios — adverse lighting, unusual occlusions, extreme environments […]

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Synetic Demonstration of the LYNX SDK Beta: Real-Time CV Across Six Platforms in One Call

David Scott, CEO & Founder at Synetic, demonstrates the LYNX SDK beta release at the 2026 Embedded Vision Summit. LYNX returns detection, segmentation, depth, and keypoints simultaneously from a single forward pass, eliminating the need to chain multiple models on constrained edge hardware. David highlights several capabilities shipping in the beta: 3D positioning from a

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Synetic Demonstration of the LYNX Computer Vision SDK and Synthetic Data as a Service Platform

Will Ruffalo, Co-Founder at Synetic, introduces two of the company’s core offerings at the 2026 Embedded Vision Summit: the LYNX computer vision SDK and Synetic’s synthetic data as a service platform. LYNX delivers detection, segmentation, keypoints, and depth in a single inference call, across six platforms, from a single model artifact. Will also demonstrates how

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Qualitas Semiconductor – From High-Speed Interfaces to Silicon Validation

Qualitas Semiconductor, a leading provider of high-speed semiconductor IP, presents its cutting-edge IP portfolio powering the next generation of SoCs. From advanced interfaces like PCIe Gen6, UCIe 2.0, and MIPI, to silicon-proven PHY designs on advanced process nodes, Qualitas IP enables chip designers to push the boundaries of performance, power efficiency, and time-to-market.  

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

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

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

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

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

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

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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