At embedded world 2019, congatec, Basler and NXP Semiconductors are presenting a Retail Deep Learning Application at their respective booths. The platform is a proof-of-concept utilizing Artificial Intelligence) to fully automate the retail checkout process. It was created by Basler supported by the close partnership with congatec and NXP. This solution shows the possibilities of vision for embedded applications and how they can simplify our everyday life.
Booth visitors can select what to put in their baskets, and the trained neural network then detects the products on the basis of a video stream – similar to how face recognition works – and finally the total pricing will be displayed. Systems like this open new perspective for retail applications: It makes it easy to add new products to the sales portfolio as products can easily be added to a trained neural network. Retail stores benefit from less labor costs as well as significantly improved customer experience through instant checkouts, minimized queues and 100% checkout capacity at all times, even when the shop is opened 24/7.
The Retail Deep Learning Application is based on a Basler Embedded Vision Kit consisting of an NXP i.MX 8QuadMax SoC mounted on the conga-SMX8 SMARC 2.0 Computer-on-Module from congatec, a SMARC 2.0 carrier board and Basler’s dart BCON for MIPI 13 MP camera module. The Embedded Vision Kit will be available starting this summer from Basler.