Retail Applications for Computer Vision

Published:08/16/2018   Last Updated:09/19/2019

The retail space is changing, and the technology behind it is evolving as well. Computer vision is a natural fit in retail situations, providing solutions to areas such as security, inventory tracking, productivity measurement, customer engagement, and advertising. 

To illustrate the value that computer vision brings to the retail space, Intel has created a series of reference implementations. These are specific solutions that both teach methods of using computer vision, as well as providing a solution built from open source tools that a developer can use as a real world solution.

Each reference implementation is a self-contained use case built with Intel® tools and the Intel® Distribution of OpenVINO™ toolkit. Hardware based developer kits are also available for exploring these implementations, including the IEI Tank* AIoT Developer Kit, UP Squared* AI Vision X Developer Kit, and Intel® Neural Compute Stick 2. All come with all the software you'll need, including pre-trained models.

The applications for computer vision in the retail space are numerous, and Intel will be adding more reference implementations in the near future. Keep an eye on this page for the latest projects.

Reference Implementations

Learn More

Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804