Developer Resources for Retail
Get the latest news, technical documentation, and reference implementations for retail, restaurant, and hospitality solutions.
Featured Reference Implementation
Automated Self-Checkout
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.
Reference Implementations and Code Samples
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.
Reference Architecture for Edge Connectivity
Create an edge solution for retail use cases with EdgeX*, Portainer*, the Intel Distribution of OpenVINO toolkit, Celadon in a virtual machine, and DPDK*.
Powered by Open Visual Cloud. An end-to-end server-side ad insertion system featuring on-demand video transcoding and streaming.
Powered by Open Visual Cloud. Implements a reference pipeline using libraries for content analysis of video files.
Accelerate the evaluation and implementation cycle of edge video appliances on platforms.
Powered by Open Visual Cloud. Includes immersive 360 video streaming sample based on OMAF standard and Open WebRTC Toolkit.
Intel® Technologies
Intel vPro® Platform
Upgrade application software and operating systems, trouble-shoot performance issues, and secure data for digital signage systems.
Intel® Smart Display Module
With this small form factor, network operators and system integrators can quickly deploy interchangeable digital signage devices and pluggable media players faster.
Open Active Management Technology Cloud Toolkit
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.
Intel® Software Guard Extensions SDK
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.
Intel® Platform Trust Technology
Securely store artifacts (such as passwords, certificates, or encryption keys) inside the Trusted Platform Module 2.0 that is integrated into Intel® silicon.
Leverage a hardware-based identity to enable simple and trusted automatic IoT device onboarding using device management and cloud platforms.
Developer Kits with Hardware Acceleration for AI
Use these kits to develop, optimize, and analyze multiple video streams, inference at the edge, and high-performance computer vision applications.
Tools and Training
Intel® Distribution of OpenVINO™ Toolkit
This multiplatform computer vision solution can generate retail analytics on shopper behavior, mood, interaction with kiosks and displays, and more.
Intel® oneAPI Base & IoT Toolkit
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.