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“Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft,” a Presentation from Immervision

Julie Buquet, Applied Researcher for Imaging and AI at Immervision, presents the “Next-generation Computer Vision Methods for Automated Navigation of Unmanned Aircraft” tutorial at the May 2023 Embedded Vision Summit. Unmanned aircraft systems (UASs) need to perform accurate autonomous navigation using sense-and-avoid algorithms under varying illumination conditions. This requires robust algorithms able to perform consistently, […]

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“Fundamentals of Training AI Models for Computer Vision Applications,” a Presentation from GMAC Intelligence

Amit Mate, the founder and CEO of GMAC Intelligence, presents the “Fundamentals of Training AI Models for Computer Vision Applications” tutorial at the May 2023 Embedded Vision Summit. In this presentation, Mate introduces the essential aspects of training convolutional neural networks (CNNs). He discusses the prerequisites for training, including models, data and training frameworks, with

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“Making Sense of Sensors: Combining Visual, Laser and Wireless Sensors to Power Occupancy Insights for Smart Workplaces,” a Presentation from Camio

Rakshit Agrawal, Vice President of Research and Development at Camio, presents the “Making Sense of Sensors: Combining Visual, Laser and Wireless Sensors to Power Occupancy Insights for Smart Workplaces” tutorial at the May 2023 Embedded Vision Summit. Just as humans rely on multiple senses to understand our environment, electronic systems are increasingly equipped with multiple

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“Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies

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

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Edge AI: The Wait is (Almost) Over

Since the introduction of Artificial Intelligence to the data center, AI has been loath to leave it. With large tracts of floorspace dedicated to servers comprising leading-edge chips that can handle the computational demands for training the latest in AI models, as well as inference via end-user connections to the cloud, data centers are the

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Flex Logix Demonstration of Its InferX IP for AI Inference Implementing Object Detection at the Edge

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.

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“The OpenVX Standard API: Computer Vision for the Masses,” a Presentation from the Khronos Group

Kiriti Nagesh Gowda, Senior Member of the Technical Staff at AMD and Chair of the OpenVX Working Group at the Khronos Group, presents the “OpenVX Standard API: Computer Vision for the Masses?” tutorial at the May 2023 Embedded Vision Summit. Today, a great deal of effort is wasted in optimizing and re-optimizing computer vision and

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Visionary.ai Demonstration of a True Night Vision ISP Running on Synopsys’ ARC AI and Vision Processor

Oren Debbi, CEO and Co-founder of Visionary.ai, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Debbi demonstrates Visionary.ai’s low-light software-based image signal processor (ISP). Two cameras with identical hardware are placed inside a box, one using a standard ISP and the other using Visionary.ai’s AI

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Applying Advanced Compilation Technology to the AI Stack for Better Performance, Productivity and Power Efficiency

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How Qualcomm is improving on-device performance with AI compilers Artificial intelligence (AI) is having its big moment with the rise of generative AI models, but it often comes at an increasing cost: energy consumption and computing. To

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Renesas Demonstration of Its Next-generation Artificial Intelligence Accelerator

Michael Kosinski, Senior Embedded Software Engineer at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kosinski demonstrates Renesas’ proprietary DRP-AI accelerator, which provides high performance AI inference with excellent power efficiency. This demonstration is a prototype for Renesas’ next-generation DRP-AI, which realizes sparse

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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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