Developer Resources for Retail
Get the latest news, technical documentation, and reference implementations for retail, restaurant, and hospitality solutions.
Featured Use Case
AI-Enabled Computer Vision Checkout Framework
Accelerate development and deployment of AI-enabled computer vision solutions in retail with this framework, which includes reference implementations and core services.
Use these reference implementations to identify the hardware for your compute needs and run performance benchmarks:
Automated Self-Checkout Retail Reference Implementation
Enable object recognition of product stock-keeping unit (SKU) code at the self-checkout station.
Loss Prevention Retail Reference Implementation
This reference implementation recognizes SKU codes based on the object, text, and barcode, which you can use to validate the product to reduce the probability of theft at checkout.
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 retail 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.
Device Management 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 Toolkit (Base Kit)
The Base Kit provides a core set of high-performance build tools, libraries, and analysis tools for developing high-performance, data-centric applications across CPU, GPU, FPGA, and other accelerator architectures that run at the network's edge.