For retail businesses, efficient vision-based, embedded machine learning unlocks usable analytics to help enhance the customer experience.
In this use case you will learn how we utilize PerCV.ai, Irida Labs’ state-of-the-art AI platform, with Intel® distribution of OpenVINO™ toolkit, in order to enable high-powered, vision-based AIoT solutions for Retail. PerCV.ai is an end-to-end AI software and services platform that supports the full Vision-AI product lifecycle by integrating ML models for any type of object detection together with vision system design, data management and ready-to-use deployment tools for on-device intelligence. OpenVINO™ enables PerCV.ai to significantly reduce the required time for porting proprietary machine learning algorithms into Intel® VPUs. Using OpenVino™ and Intel® Myriad X VPUs, Irida has been able to speed up inference performance by up to 55x vs ARM-based CPU, and accelerates full solution development, from algorithmic design to in-store deployment, down to 2 months.
Download the use case you and find more about the proposed solution components, comparison speed tests and technical details.: https://iridalabs.com/use-case-smart-retail-in-store-ai-analytics/
