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How Does Region of Interest (ROI)-based Exposure Benefit Embedded Vision Applications?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. ROI-based Auto Exposure (AE) and High Dynamic Range (HDR) enhance image quality in embedded vision. The See3CAM_CU81, a 4K HDR USB camera, integrates these features for precise exposure and dynamic range control, making it ideal […]

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“Efficiently Registering Depth and RGB Images,” a Presentation from eInfochips

Naitik Nakrani, Solution Architect Manager at eInfochips, presents the “Efficiently Registering Depth and RGB Images” tutorial at the May 2025 Embedded Vision Summit. As depth sensing and computer vision technologies evolve, integrating RGB and depth cameras has become crucial for reliable and precise scene perception. In this session, Nakrani presents an approach for aligning images

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ImagingNext: New Leading Event for Embedded Vision Starts in September

This year’s focus: AI-Driven Vision: Shaping the Future of Smart Imaging. Munich – June 17th 2025 – The imaging community has a new flagship event that offers vision experts exclusive insights into the latest developments: On September 18, FRAMOS will host ImagingNext, a two-day conference in Munich’s Bogenhausen district at Smartvillage. This year’s conference will

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STMicroelectronics Introduces Advanced Human Presence Detection Solution to Enhance Laptop and PC User Experience

New technology delivers more than 20% power consumption reduction per day in addition to improved security and privacy ST solution combines market leading Time-of-Flight (ToF) sensors and unique AI algorithms for a seamless user experience Geneva, Switzerland, June 17, 2025 — STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics

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NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays.

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“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic

Carl Moberg, CTO of Avassa, and Zoie Rittling, Business Development Manager at OnLogic, co-present the “How Right-size and Future-proof a Container-first Edge AI Infrastructure” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Moberg and Rittling provide practical guidance on overcoming key challenges in deploying AI at the edge, including remotely managing containerized

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AI On Board: Near Real-time Insights for Sustainable Fishing

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Marine ecosystems are under pressure from unsustainable fishing, with some populations declining faster than they can recover. Illegal, unreported, and unregulated (IUU) fishing further contributes to the problem, threatening biodiversity, economies, and global seafood supply chains. While many

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“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon

Derek Chow, Software Engineer at Google, and Shang-Hung Lin, Vice President of NPU Technology at VeriSilicon, co-present the “Image Tokenization for Distributed Neural Cascades” tutorial at the May 2025 Embedded Vision Summit. Multimodal LLMs promise to bring exciting new abilities to devices! As we see foundational models become more capable, we see compute requirements grow

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Learn about Computer Vision

This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is revolutionizing computer vision. Synetic.ai provides an automated platform for generating training datasets that are photorealistic, annotated, and customizable. Computer vision is the process of extracting meaning from images using statistical patterns in

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“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys

Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit. In this talk, Cooper discusses emerging trends in generative AI for edge devices and the key role of transformer-based

“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys 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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