Overview
The Intel® Retail AI Suite is a collection of sample open-source code for various retail use cases. It consists of modular software, performance data, and validated hardware. The suite focuses on the AI pipelines to help partners assess device configurations across Intel® product generations to enhance hardware decision-making and reduce the total cost of ownership.
View on GithubWhat's New
Order Accuracy
The Order Accuracy Pipeline System is an open-source reference implementation for building and deploying video analytics pipelines for retail order accuracy in Quick Servce Restaurant(QSR) use cases.
Learn MoreOrder Accuracy, VLM, Agentic AI, Computer vision
This is a demo showing the interactions in a fast food chain when orders are being packed. It focuses on packing accuracy and offers playback for future customer queries...
Watch NowBenefits
Pre-built sample pipelines for accelerated application development, performance results to remove ambiguity on hardware choice, and co-marketing opportunities for hardware and software builders.
AI System Qualification
Determine hardware needs and TCO for scale deployments with performance results and validate results using the Performance Evaluation Tool.
Co-Marketing Opportunities
Feature your qualified systems in Intel® Edge Software Recommended Hardware for system reports, co-marketing and ISV match-making opportunities.
Accelerate Development
Utilize the sample AI pipelines to most effectively use Intel® Software frameworks to develop AI solutions optimized for Intel® hardware
Technology & Performance
Make informed hardware choices for scaling AI workloads across your retail estate by using pre-run performance results, or the performance evaluation tool, and selecting from pre-validated systems to run multi-modal AI pipelines.
Performance Data
Find the latest performance results by choice of Intel® processors for the various Retail AI Suite AI pipelines.
Self-Checkout
Find the latest performance data by choice of Intel® processors for the automated self-checkout AI pipelines.
Loss Prevention
Find the latest performance data by choice of Intel® processors for the loss prevention AI pipelines.
Order Management
Find the latest performance data by choice of Intel® processors for order management AI pipelines.
Models Used
Listing of all CV and Gen AI models used across the various retail use case AI pipelines
Computer Vision Models
The CV models have been used to mimic develop the pipeline and run performance tests
Models:
- YOLO V11
- YOLO World
- EfficientNet
Generative AI Models
The Gen AI models have been used to mimic develop the pipeline and run performance tests
Models:
- Qwen 2.5B
- YOLO World
Recommended HW and Systems
Qualified Intel® AI Edge Systems
Discover our comprehensive catalog of qualified Intel® AI Edge Systems, meticulously tested and validated through the Intel®...
Open Edge Platform
Open Edge Platform
An Intel-based, partner-enabled, secure, optimized open platform for the edge to accelerate solution development...
ESQ Qualification Tool
Comprehensive catalog of qualified Intel® AI Edge Systems, meticulously tested and validated through the Intel® Edge System Qualification (ESQ) program, to ensure system performance. OEMs and ODMs can use tool to qualify their systems today and join our thriving Edge AI ecosystem to build Intel-powered offerings.
ESQ for Intel® AI Edge Systems
Intel® ESQ for Intel® AI Edge Systems enables you to self-qualify your hardware with benchmarked...
Use Cases
Accelerate your edge Al application development journey with Intel® Al Edge Systems-backed by curated Edge Al Suites, and Toolkits to optimize Vision and Gen Al workloads across industries.
Automated Self-Checkout
Enabling faster checkout and increasing customer convenience while bringing operational efficiencies to the store.
The sample application defines a pre-configured pipeline to detect and classify products at the self-checkout station including those with and without descriptive text and barcodes.
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Loss Prevention at the Checkout
The sample application is a pre-defined pipeline to detect possible theft at the checkout. The pipeline detects fake scans, product switching, concealing products and several potential theft scenarios.
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Order Accuracy
The sample application consists of a pre-defined pipeline and a video recall function. The pipeline verifies what's being packed against the order receipt to ensure packing accuracy. The video recall provides transparency in the event of a dispute.
Learn MoreResources
Accelerate your edge Al application development journey with Intel® Al Edge Systems-backed by curated Edge Al Suites, and Toolkits to optimize Vision and Gen Al workloads across industries.
Advancing utility management with industry solutions that enhance operational efficiency.
Retail Innovation Unlocked: Open Source Vision-Enabled Solutions
Computer vision is revolutionizing various industries, and retail is no exception. By automatically extracting and analyzing important characteristics from images and videos...
Workload performance benchmarking
With rapidly changing technologies, maintaining a reliable approach to monitoring workload performance is essential. However, performance benchmarking tools are often tightly...
Streamline Development of Automated Self-Checkout Use Cases
Computer vision (CV) pipelines use many AI models based on use case and complexity. In the retail checkout space, developers design and assemble their applications with models...
Quickly Build Your Vision-Enabled Self-Checkout Solution
Automated self-checkout solutions are revolutionizing retail, but building an application that can scale requires a deep understanding of hardware and software....
Advancing utility management with industry solutions that enhance operational efficiency.
Demo of heterogenous compute in use for vision pipelines
This is a demo of Intel's Automated Self-Checkout Reference Implementation showing how to deploy and monitor computer vision workloads. The demo describes the ease...
Automated Self Checkout video
This is a demo of Intel's Automated Self-Checkout Reference Implementation showing how to deploy and monitor computer vision workloads. The demo describes the ease in which these...
Order Accuracy, VLM, Agentic AI, Computer vision
This is a demo showing the interactions in a fast food chain when orders are being packed. It focuses on packing accuracy and offers playback for future customer queries...
CV, OpenVINO, DLStreamer, self-checkout
This is an introduction to using AI and computer vision on retail applications. The training covers a high level overview of AI performance optimization with Intel software frameworks and heterogeneous compute...
Developer Tools
Accelerate your edge AI application development journey with Intel® AI Edge Systems—backed by curated Edge AI Suites, and Toolkits to optimize Vision and Gen AI workloads across industries.
Performance Evaluation Service
The performance evaluation tool helps determine appropriate hardware for running each AI workload at scale by generating the necessary performance metrics across Intel’s heterogeneous architectures.
TGStreamer is an open source framework licensed under LGPL. You are solely responsible for determining if your use of Gstreamer requires any additional licenses.
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Support
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