Blog Posts

An Overview of GMSL2 Technology in Automotive Camera Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. GMSL2 (Gigabit Multimedia Serial Link 2) is the second generation of GMSL, a popular interface used in embedded vision for high-bandwidth long-distance transmission. In this blog, we will explore the automotive applications of GMSL2, such […]

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Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis

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Snapdragon Powers the Future of AI in Smart Glasses. Here’s How

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. A Snapdragon Insider chats with Qualcomm Technologies’ Said Bakadir about the future of smart glasses and Qualcomm Technologies’ role in turning it into a critical AI tool Artificial intelligence (AI) is increasingly winding its way through our

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How Cameras Maximize the Power of Modern Dental Applications

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Modern dentistry has been transformed by advanced cameras, aiding in diagnosis, treatment, and patient communication. High-quality intraoral cameras capture detailed images of teeth and gums, and cameras in dental loupes and surgical lights enhance procedures.

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NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA

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Scalable Public Safety with On-device AI: How Startup FocusAI is Filling Enterprise Security Market Gaps

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Enterprise security is not just big business, it’s about keeping you safe: Here’s how engineer-turned-CTO Sudhakaran Ram collaborated with us to do just that. Key Takeaways: On-device AI enables superior enterprise-grade security. Distributed computing cost-efficiently enables actionable

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The Role of AI-driven Embedded Vision Cameras in Self-checkout Loss Prevention

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Self-checkout usage is rapidly growing and redefining retail experiences. This shift has led to retail losses that can only be overcome by AI-based embedded vision. Explore the types of retail shrinkage, how AI helps, and

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Interactive AI Tool Delivers Immersive Video Content to Blind and Low-vision Viewers

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps

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Exploring the Present and Future of AI: Insights from Qualcomm’s AI Analyst and Media Workshop

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm A day with Qualcomm revealed the innovations empowering new and exciting AI experiences running within devices In the rapidly evolving world of artificial intelligence (AI), staying ahead of the curve is crucial. As a leader in on-device

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Accelerating Transformer Neural Networks for Autonomous Driving

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Autonomous driving (AD) and advanced driver assistance system (ADAS) providers are deploying more and more AI neural networks (NNs) to offer human-like driving experience. Several of the leading AD innovators have either deployed, or have a roadmap

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