# Take-Away Order Accuracy


<div class="component_card_widget">
  <a class="icon_github" href="https://github.com/intel-retail/order-accuracy/tree/main/take-away">
     GitHub
  </a>
  <a class="icon_document" href="https://github.com/intel-retail/order-accuracy/blob/main/take-away/README.md">
     Readme
  </a>
</div>


Take-Away Order Accuracy is an enterprise-grade AI vision system designed for real-time order validation in quick-service restaurant (QSR) environments. The system employs Vision Language Models (VLM) to analyze video feeds from drive-through stations, automatically identifying items in order bags and validating them against POS order data.

## Next Steps

- [System Requirements](./get-started/system-requirements.md) - Check the detailed requirements
- [Installation Guide](./get-started.md) - Step-by-step installation instructions
- [How It Works](./how-it-works.md) - Learn about the architecture
- [How To Use](./how-to-use.md) - Learn how to operate the system
- [Benchmarking Guide](./ta-benchmarking.md) - Run benchmarks
- [API Reference](./api-reference.md) - Learn the API
- [Troubleshooting](./troubleshooting.md) - Resolve common issues
- [Release Notes](./release-notes.md) - Read about updates and improvements


:::{toctree}
:hidden:

./get-started.md
./how-it-works.md
How To Use <./how-to-use.md>
Benchmarking <./ta-benchmarking.md>
API Reference <./api-reference.md>
Troubleshooting <./troubleshooting.md>
Release Notes <./release-notes.md>

:::