Get the latest news, technical documentation, and reference implementations for retail, restaurant, and hospitality solutions.
Featured Reference Implementation
The Intel® Automated Self-Checkout Retail Reference Implementation provides critical components required to build and deploy automated self-checkout using Intel® hardware, software, and other open source software ingredients.
Use this reference implementation to identify the hardware for your compute needs, run performance benchmarks, and use the core building blocks to speed up the development of automated self-checkout solutions.
The retail market is evolving with the incorporation of computer vision, advanced RFID solutions, and the ability to collect and analyze data at the edge. To deploy retain IoT solutions, follow these reference implementations.
Use computer vision solutions to adjust kiosk displays in response to audience demographics. Use sensors with computer vision to detect products removed from a cooler or cabinet, count inventory, identify the need for maintenance, and more.
Open source, modular microservices and libraries for integration of Intel® Active Management Technology (Intel® AMT). As an open source implementation, the toolkit makes it easier for IT departments and independent software vendors (ISVs) to adopt, integrate, and customize out of band management solutions for Intel vPro® Platforms.
Security Technologies for Retail
Enhance and streamline retail security with the following solutions that enable uses such as IP address protection during transaction, hardware-backed key storage and encryption, and easy onboarding of new devices.
Enhance IoT application security and enable the development and use of trusted computing enclaves that deliver increased protection for data and applications—independent of the operating system or hardware configuration.
The combination of Intel® oneAPI Base Toolkit (Base Kit) and Intel® oneAPI IoT Toolkit (IoT Kit) provides a core set of high-performance build tools, libraries, and analysis tools to simplify IoT system design, development, and deployment across CPU, GPU, FPGA, and other accelerator architectures that run at the network’s edge.