Intel® Order Accuracy Reference Package

Overview

As computer vision technology becomes more mainstream in industrial and retail settings, using it for order accuracy in quick service restaurants is becoming increasingly complex. These vision workloads are substantial and require multiple stages of processing. For example, a typical order accuracy pipeline might capture video data and use an object detection model like YOLO V11 to identify items such as sandwiches, fries, and drinks placed on trays or tables. The results are then post-processed to generate metadata highlighting which food items were served.

Implementing order accuracy solutions in retail isn't straightforward. Retailers, independent software vendors (ISVs), and system integrators (SIs) need a solid understanding of both hardware and software, as well as the costs involved in setting up and scaling these systems. Given the data-intensive nature of vision workloads, systems must be carefully designed, built, and deployed with numerous considerations in mind. Effectively combating shrinkage requires the right mix of hardware, software, and optimized configurations.

The Intel® Order Accuracy Reference Package is designed to help with this. It provides the essential components needed to develop and deploy a order accuracy solution using Intel® hardware, software, and open-source tools. This reference implementation includes a pre-configured pipeline that's optimized for Intel® hardware, simplifying the setup of an effective computer vision-based order accuracy system for retailers.

Next Steps

To begin using the order accuracy solution you can follow the Getting Started Guide.