Deep Learning Application

Aims to fully automated checkout

  • Deep Learning Application
    Deep Learning Application

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. 


An improved customer experience

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.
 

Graduated in political sciences and international relations in Paris, Anis joined the team in early 2019. Editor for IEN Europe and the new digital magazine AI IEN, he is a new tech enthusiast. Also passionate about sports, music, cultures and languages. 

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