Samuel Örn, Team Lead and Senior Machine Learning and Computer Vision Engineer at Invision AI, presents the “Using a Collaborative Network of Distributed Cameras for Object Tracking” tutorial at the May 2023 Embedded Vision Summit. Using multiple fixed cameras to track objects requires a careful solution design. To enable scaling the number of cameras, the […]
Brent Willis, Chief Operating Officer of the ProHawk Technology Group, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Willis discusses the company’s AI-enabled computer vision restoration technology. ProHawk’s patented algorithms and technologies enable real-time, pixel-by-pixel video restoration, overcoming virtually all environmental
ProHawk Technology Group Overview of AI-enabled Computer Vision Restoration Read More +
Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Borkar demonstrates two applications running on customers’ SoCs, showcasing Cadence’s pervasiveness in AI. The first demonstration is of
Cadence Demonstrations of Generative AI and People Tracking at the Edge Read More +
Vaibhav Ghadiok, Co-founder and CTO of Hayden AI, presents the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. Hayden AI has developed the first AI-powered data platform for smart and safe city applications such as traffic enforcement, parking and asset management. In this talk, Ghadiok presents his company’s privacy-preserving
“Reinventing Smart Cities with Computer Vision,” a Presentation from Hayden AI Read More +
Sumedh Datar, Senior Machine Learning Engineer at 7-Eleven, presents the “Item Recognition in Retail” tutorial at the May 2023 Embedded Vision Summit. Computer vision has vast potential in the retail space. 7-Eleven is working on fast frictionless checkout applications to better serve customers. These solutions range from faster checkout systems to fully automated cashierless stores.
“Item Recognition in Retail,” a Presentation from 7-Eleven Read More +
Javier Berneche, Senior Machine Learning Engineer at Tryolabs, presents the “Multiple Object Tracking Systems” tutorial at the May 2023 Embedded Vision Summit. Multiple object tracking (MOT) 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 session, Berneche walks through the
“Multiple Object Tracking Systems,” a Presentation from Tryolabs Read More +
This blog post was originally published by Onit. It is reprinted here with the permission of Onit. Hello tech enthusiasts! Today, we’re diving into the dynamic world of indoor localization once again, this time with a closer look at the ingenious technology driving Dragonfly. As many of you are already aware, Dragonfly stands as a
Reimagining Indoor Localization with Dragonfly: A Glimpse into Uncharted Precision Read More +
Sébastien Taylor, Vice President of Research and Development at Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2023 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different type of visual understanding: semantic
“Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies Read More +
Jeremy Roberson, Technical Director and Software Architect for AI and Machine Learning at Flex Logix, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Roberson demonstrates the company’s InferX IP for AI inference at the edge, implementing object detection.
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. This is the third entry in our Road to Machine Learning series; if you read the first and second entries and did your homework, congratulations! The force is growing on you! By now, you should feel familiar
Object Detection and Tracking Step by Step Guide: A Hands-on Exercise Read More +
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