Videos

“Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio

Algorithms, Camio, Multimodal, Object Identification, Object Tracking, Software, Tools, Videos /

Carter Maslan, CEO of Camio, presents the “Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the December 2024 Edge AI and Vision Innovation Forum. In this presentation, you’ll learn how vision language models interpret policy text to enable much more sophisticated understanding of scenes and human behavior compared with current-generation […]

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“Improved Data Sampling Techniques for Training Neural Networks,” a Presentation from Karthik Rao Aroor

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Independent AI Engineer Karthik Rao Aroor presents the “Improved Data Sampling Techniques for Training Neural Networks” tutorial at the May 2024 Embedded Vision Summit. For classification problems in which there are equal numbers of samples in each class, Aroor proposes and presents a novel mini-batch sampling approach to train neural networks using gradient descent. His

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“Embedded Vision Opportunities and Challenges in Retail Checkout,” an Interview with Zebra Technologies

Algorithms, Edge AI and Vision Alliance, Memory, Object Identification, Object Tracking, Processors, Retail, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

Anatoly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision Alliance, for the “Embedded Vision Opportunities and Challenges in Retail Checkout” interview at the May 2024 Embedded Vision Summit. In

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“Cost-efficient, High-quality AI for Consumer-grade Smart Home Cameras,” a Presentation from Wyze

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Memory, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

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

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“Edge AI Optimization on Rails—Literally,” a Presentation from Wabtec

Algorithms, Edge AI and Vision Alliance, Industrial Vision (Computer Vision), Memory, Processors, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

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

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“How Large Language Models Are Impacting Computer Vision,” a Presentation from Voxel51

Algorithms, Edge AI and Vision Alliance, Multimodal, Software, Summit 2024, Tools, Videos /

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

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“Implementing AI/Computer Vision for Corporate Security Surveillance,” a Presentation from VMware

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Object Tracking, Optical Character Recognition, Security, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

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

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“Continual Learning thru Sequential, Lightweight Optimization,” a Presentation from Vision Elements

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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

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

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Software, Summit 2024, Tools, Videos /

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

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

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Sensors and Cameras, Software, Summit 2024, Tools, Videos /

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.

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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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