Lin Chen, Chief Scientist at Wyze, presents the “Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras” tutorial at the May 2024 Embedded Vision Summit. In this talk, Chen explains how Wyze delivers robust visual AI at ultra-low cost for millions of consumer smart cameras, and how his company is rapidly expanding these capabilities. He begins […]
Matthew Pietrzykowski, Principal Data Scientist at Wabtec, presents the “Edge AI Optimization on Rails—Literally” tutorial at the May 2024 Embedded Vision Summit. In this talk, Pietrzykowski shares highlights from his company’s adventures developing computer vision solutions for the rail transportation industry. He begins with an introduction to the types of machine perception problems encountered in
“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec Read More +
Jacob Marks, Senior ML Engineer and Researcher at Voxel51, presents the “How Large Language Models Are Impacting Computer Vision” tutorial at the May 2024 Embedded Vision Summit. Large language models (LLMs) are revolutionizing the way we interact with computers and the world around us. However, in order to truly understand the world, LLM-powered agents need
“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51 Read More +
Prasad Saranjame, former Head of Physical Security and Resiliency at VMware, presents the “Implementing AI/Computer Vision for Corporate Security Surveillance” tutorial at the May 2024 Embedded Vision Summit. AI-enabled security cameras offer substantial benefits for corporate security and operational efficiency. However, successful deployment requires thoughtful selection of use cases and meticulous attention to managing the
Guy Lavi, Managing Partner at Vision Elements, presents the “Continual, On-the-fly Learning through Sequential, Lightweight Optimization” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Lavi shows how techniques of sequential optimization are applied to enable continual learning during run-time, as new observations flow in. The lightweight nature of these techniques, using only
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 walks through the construction of
“Multi-object Tracking Systems,” a Presentation from Tryolabs Read More +
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
Edge AI and Vision Insights: October 23, 2024 Read More +
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 assistance for the blind community.
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 data into insights for users.
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 explores sensor features and trade-offs,
“Introduction to Cameras for Embedded Applications,” a Presentation from SensorSpace Read More +
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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