Automated Self-Checkout Edge AI Reference Kit | Intel Software

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Опубликовано 5 декабря 2023, 14:45
An introduction to how our Edge AI Reference Kit’s Automated Self-checkout application works in a few simple steps. It showcases how AI can help improve operational efficiency, loss prevention, and shoppers’ experiences at retail checkout.

Intel’s Edge AI Reference Kits are ready-made with prebuilt components and pretrained models to accelerate your AI solution development.

The kit in this video focuses on Automated Self-checkout, which harnesses computer vision and object detection with the addition of custom-defined zones to create self-checkout solutions for retail. Use OpenVINO, Ultralytics’s YOLOv8, and Roboflow’s Supervision to build an application to detect and track objects within zones. Gather real-time analytics data as to whether objects are added or removed.

OpenVINO is an open source toolkit that accelerates AI inference on a wide variety of hardware, including CPUs and GPUs, and powers our Edge AI Reference Kits.

Our Github with Jupyter Notebook: bit.ly/47OwAeu

Watch our Code Demo companion video: youtu.be/rw8cTr-hD-g

Learn more about our Edge AI Reference Kits: intel.ly/3YG3Q4t

Download OpenVINO: intel.ly/3uB3qRT

About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.

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Automated Self-Checkout Edge AI Reference Kit | Intel Software
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