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AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the […]

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Google Announces LiteRT Qualcomm AI Engine Direct Accelerator

Google has announced a new LiteRT Qualcomm AI Engine Direct Accelerator, giving Android and embedded developers a much more direct path to Qualcomm NPUs for on-device AI and vision workloads. Built on top of Qualcomm’s AI Engine Direct (“QNN”) SDK, the new accelerator replaces the older TensorFlow Lite QNN delegate and plugs directly into LiteRT,

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Reimagining Embedded Audio: MIPI SWI3S Is a Game Changer

This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. As embedded audio systems continue to evolve across consumer electronics, automotive and industrial applications, so does the demand to deliver advanced features—such as far-field voice recognition, spatial audio and “always-on” AI-driven audio processing—within increasingly compact, power-sensitive devices

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“AI-powered Scouting: Democratizing Talent Discovery in Sports,” a Presentation from ai.io

Jonathan Lee, Chief Product Officer at ai.io, presents the “AI-powered Scouting: Democratizing Talent Discovery in Sports,” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Lee shares his experience using AI and computer vision to revolutionize talent identification in sports. By developing aiScout, a platform that enables athletes… “AI-powered Scouting: Democratizing Talent Discovery

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AI Disruption is Driving Innovation in On-device Inference

This article was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How the proliferation and evolution of generative models will transform the AI landscape and unlock value. The introduction of DeepSeek R1, a cutting-edge reasoning AI model, has caused ripples throughout the tech industry. That’s because its performance is on

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The Role of Golf Swing Analysis Cameras in Golf Simulator Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Golf simulator and golf swing analysis cameras are designed for detailed and immersive analysis of the golf game. These cameras are used to track the ball’s motion, trajectory, spin rate, and speed after impact to

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Edge Intelligence and Interoperability are the Key Components Driving the Next Chapter of the Smart Home

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The smart home industry is on the brink of a significant leap forward, fueled by generative AI and edge capabilities The smart home is evolving to include advanced capabilities, such as digital assistants that interact like friends

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Virtual and Augmented Reality: The Rise and Drawbacks of AR

While being closed off from the real world is an experience achievable with virtual reality (VR) headsets, augmented reality (AR) offers images and data combined with real-time views to create an enriched and computing-enhanced experience. IDTechEx‘s portfolio of reports, including “Optics for Virtual, Augmented and Mixed Reality 2024-2034: Technologies, Players and Markets“, explore the latest

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The Ultimate Guide to Golf Simulator Cameras: Enhancing Your Indoor Golf Experience

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Indoor simulators must capture the nuanced motions of a golf swing to help players fine-tune their swings across weather conditions. The right imaging solution makes all the difference. Learn about the different types of cameras

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“Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics,” a Presentation from Sportlogiq

Mehrsan Javan, Chief Technology Officer at Sportlogiq, presents the “Using Vision Systems, Generative Models and Reinforcement Learning for Sports Analytics” tutorial at the May 2024 Embedded Vision Summit. At a high level, sport analytics systems can be broken into two components: sensory data collection and analytical models that turn sensory data into insights for users.

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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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