Edge AI and Vision Alliance

“Multi-object Tracking Systems,” a Presentation from Tryolabs

Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2024 Embedded Vision Summit. Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this talk, Berneche… “Multi-object Tracking Systems,” a Presentation […]

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Edge AI and Vision Insights: October 23, 2024

 LETTER FROM THE EDITOR Dear Colleague,  If your company supplies building-block technologies or services, I’m pleased to present an opportunity for your company to gain significant visibility and connect with key industry leaders by exhibiting or sponsoring at the 2025 Embedded Vision Summit. The Summit is not just another tech conference; it is the premier

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“Improved Navigation Assistance for the Blind via Real-time Edge AI,” a Presentation from Tesla

Aishwarya Jadhav, Software Engineer in the Autopilot AI Team at Tesla, presents the “Improved Navigation Assistance for the Blind via Real-time Edge AI,” tutorial at the May 2024 Embedded Vision Summit. In this talk, Jadhav presents recent work on AI Guide Dog, a groundbreaking research project aimed at providing navigation… “Improved Navigation Assistance for the

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“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq

Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit. At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory… “Using Vision Systems, Generative Models

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“Introduction to Cameras for Embedded Applications,” a Presentation from SensorSpace

Brian Rodricks, CTO of SensorSpace, presents the “Introduction to Cameras for Embedded Applications” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Rodricks introduces the essential features of cameras for embedded vision applications. He explains lens mounts and camera interface options such as MIPI, USB and GigE. He… “Introduction to Cameras for Embedded

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“Introduction to Modern Radar for Machine Perception,” a Presentation from Sensor Cortek

Robert Laganière, Professor at the University of Ottawa and CEO of Sensor Cortek, presents the “Introduction to Modern Radar for Machine Perception” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Laganière provides an introduction to radar (short for radio detection and ranging) for machine perception. Radar is… “Introduction to Modern Radar for

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“Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications,” a Presentation from SEEdar Consulting

Armita Abadian, Advisor to SEEdar Consulting, presents the “Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications” tutorial at the May 2024 Embedded Vision Summit. Imagine a robot navigating a busy factory floor, a self-driving car detecting obstacles on the road or a security system accurately recognizing… “Seeing Through Machines: A Guide

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“Transformer Networks: How They Work and Why They Matter,” a Presentation from Ryddle AI

Rakshit Agrawal, Co-Founder and CEO of Ryddle AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2024 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential… “Transformer Networks: How They Work

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“Removing Weather-related Image Degradation at the Edge,” a Presentation from Rivian

Ramit Pahwa, Machine Learning Scientist at Rivian, presents the “Removing Weather-related Image Degradation at the Edge” tutorial at the May 2024 Embedded Vision Summit. For machines that operate outdoors—such as autonomous cars and trucks—image quality degradation due to weather conditions presents a significant challenge. For example, snow, rainfall and raindrops… “Removing Weather-related Image Degradation at

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“Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques,” a Presentation from Qualitas Technologies

Raghava Kashyapa, CEO of Qualitas Technologies, presents the “Seeing the Invisible: Unveiling Hidden Details through Advanced Image Acquisition Techniques” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Kashyapa explores how advanced image acquisition techniques reveal previously unseen information, improving the ability of algorithms to provide valuable insights.… “Seeing the Invisible: Unveiling Hidden

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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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