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  • Dome vs Bullet Cameras: Which is Better for Traffic and Outdoor Surveillance?

    Smarter Safety at Work: AI Vision-Based Solutions for Preventing Musculoskeletal Disorders (MSDs)

    How to Mitigate Lens Flare in Embedded Vision Systems: Technical Insights and Best Practices

    What are the crucial factors to consider while integrating multi-camera solutions?

    Ranjith KumarApril 22, 20240
    Many new-age embedded vision applications like robots, airport kiosks, and surround view systems are powered by multi-camera systems. Learn everything you need to know about the factors to be considered for seamlessly integrating multi-cameras into your embedded vision system.
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    Integrating a synchronized multi-camera system into automated sports broadcasting systems

    Ranjith KumarOctober 27, 20220
    Automated sports broadcasting systems are gaining in popularity globally. They need a multi-camera system to stream live matches and capture images & videos for sports analytics purposes. Learn everything you need to know about integrating a multi-camera solution into these new-age devices.
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    How to choose the right lens for your embedded camera application

    Prabu KumarMay 9, 20250
    Choosing the right lens is one of the most critical steps in ensuring the effective functioning of an embedded camera system. In this article, learn in detail the 7 key factors you need to consider while selecting the best-fit lens for your embedded vision application.
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    Popular embedded vision applications of RGB-IR cameras

    Gomathi SankarDecember 26, 20240
    RGB IR cameras come with dedicated RGB as well as IR pixels unlike traditional image sensors, making them more suitable for night vision applications. Learn how these cameras are transforming some of the most popular embedded vision systems.
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    How to deploy the DepthVista (TOF Camera) SDK for Isaac SDK 2021.1 on a Jetson board

    Vinoth RajagopalanDecember 27, 20240
    The Isaac SDK has played a key role in improving time to market by helping product developers reduce the time of prototyping and productization. In this article, learn how to deploy the DepthVista (a 3D time of flight camera from e-con Systems) SDK for Isaac SDK 2021.1 on a Jetson
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    NVIDIA Jetson Orin vs. other NVIDIA Jetson modules – a detailed look

    Prabu KumarDecember 27, 20240
    NVIDIA Jetson Orin series is the latest set of processors released by NVIDIA with a maximum AI performance of 275 TOPS. Learn how Orin compares with its predecessors including Jetson AGX Xavier, Xavier NX, TX2, and Nano.
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    Understanding how Exposure Compensation works in camera-based systems

    Vinoth RajagopalanAugust 1, 20220
    Setting the right exposure is key to delivering high-quality images in embedded cameras. Exposure compensation is a technique used to limit the exposure of a camera to achieve the desired frame rate. Learn all about the concept of exposure compensation, its benefits, limitations, and use cases.
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    What is the NVIDIA Orin Series? What are the building blocks of NVIDIA Orin?

    Prabu KumarAugust 11, 20220
    NVIDIA Jetson AGX Orin is taking the market by storm with its superior AI performance of up to 275 TOPS. Learn all that you need to know about NVIDIA Jetson AGX Orin, its technical specifications, and building blocks.
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    Popular embedded vision use cases of NVIDIA® Jetson AGX Orin™

    Gomathi SankarOctober 27, 20220
    NVIDIA® Jetson AGX Orin™ is the most powerful edge AI computer with a maximum performance of up to 275 TOPS. Do a deep dive into some of the most popular camera-based use cases of AGX Orin that are shaping the future of embedded vision.
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    Overcome the challenges of classifying blood collection tubes using AI cameras

    Balaji SJuly 25, 20230
    Picking the right camera for an automated blood collection tube classification system is a daunting task, especially given the challenges such as skewness in placement, varying lighting, and multiple colors. In this article, learn how to overcome these challenges using a world-class embedded camera and machine learning-based data augmentation approach.
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