https://github.com/intel-retail/rtsf-at-checkout-reference-design

Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.
https://github.com/intel-retail/rtsf-at-checkout-reference-design

computer-vision deep-learning edge edge-ai edge-computing image-recognition inference intel live-demo machine-learning object-detection openvino pretrained-models real-time reference-implementation video

Last synced: 11 months ago
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Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.

• Host: GitHub
• URL: https://github.com/intel-retail/rtsf-at-checkout-reference-design
• Owner: intel-retail
• License: bsd-3-clause
• Archived: true
• Created: 2019-12-12T16:54:14.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2025-01-22T18:17:55.000Z (over 1 year ago)
• Last Synced: 2025-07-03T10:56:03.960Z (about 1 year ago)
• Topics: computer-vision, deep-learning, edge, edge-ai, edge-computing, image-recognition, inference, intel, live-demo, machine-learning, object-detection, openvino, pretrained-models, real-time, reference-implementation, video
• Language: Go
• Homepage: https://intel-retail.github.io/rtsf-at-checkout-reference-design/
• Size: 56.9 MB
• Stars: 13
• Watchers: 16
• Forks: 18
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md
  • Security: .github/security.md

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README

          
## PROJECT NOT UNDER ACTIVE MANAGEMENT

This project will no longer be maintained by Intel.

Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.  

Intel no longer accepts patches to this project.

If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.  

Contact: webadmin@linux.intel.com

# rtsf-at-checkout-reference-design

![CodeQL](https://github.com/intel-retail/rtsf-at-checkout-reference-design/actions/workflows/codeql.yaml/badge.svg?branch=main) ![GolangTest](https://github.com/intel-retail/rtsf-at-checkout-reference-design/actions/workflows/gotest.yaml/badge.svg?branch=main) ![DockerImageBuild](https://github.com/intel-retail/rtsf-at-checkout-reference-design/actions/workflows/build.yaml/badge.svg?branch=main)  [![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/intel-retail/rtsf-at-checkout-reference-design/badge)](https://api.securityscorecards.dev/projects/github.com/intel-retail/rtsf-at-checkout-reference-design)

See the following link for complete *Real Time Sensor Fusion for Loss Detection at Checkout Reference Design* documentation.

For complete documentation on the Automated Checkout Reference Design, please visit **[this repository's GitHub Pages site](https://intel-retail.github.io/rtsf-at-checkout-reference-design/)

    NOTE: “GStreamer is an open source framework licensed under LGPL. See https://gstreamer.freedesktop.org/documentation/frequently-asked-questions/licensing.html?gi-language=c.  You are solely responsible for determining if your use of Gstreamer requires any additional licenses.  Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of Gstreamer.”