The Retail Deep Learning Application is a platform made by Basler in partnership with Congatec and NXP Semiconductors. It is a proof-of-concept platform utilizing Artificial Intelligence to fully automate the retail checkout process. It shows the possibilities of vision for embedded applications, simplifying the everyday life. It works similarly as a face recognition tool.
The user can select what to put in the basket, then the trained neural network detects the product and finally the total pricing will be displayed. This allows to easily add new products to a trained neural network and then to the sales portfolio. Consequently, retail stores can benefit from less labor costs and an improved customer experience through instant checkouts, minimized queues and 100% checkout capacity at all times.