Intel Retail is a collection of pipelines, tools, and resources designed to accelerate hardware decisions for Retail AI workloads at the edge, featuring use cases such as self-checkout and loss prevention.
Intel’s Open Edge Platform is a secure and optimized open platform for delivering scalable edge solutions. Retail constitutes one of its AI Software Suites, offering several sample applications that showcase the use of platform's software stack. The following are the main components of the suite:
- Order Accuracy Pipeline System is an open-source reference implementation for building and deploying video analytics pipelines for retail order accuracy in Quick Service Restaurant (QSR) use cases. It leverages Intel® hardware and software, GStreamer, and OpenVINO™ to enable scalable, real-time object detection and classification at the edge.
- Loss Prevention Pipeline System is an open-source reference implementation for building and deploying video analytics pipelines for retail loss prevention use cases. It leverages Intel® hardware and software, GStreamer, and OpenVINO™ to enable scalable, real-time object detection and classification at the edge.
- Performance Tools is a dockerized performance tool suite for benchmarking a use case.
- Automated Self-Checkout Reference Package is a sample design of a self-checkout system, optimized for Intel hardware and the Open Edge Platform ecosystem.
Unless otherwise noted, the Retail repositories are released under the Apache 2.0 license.
User documentation of the main components is available at the official Open Edge Platform documentation pages.
