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Artificial intelligence for an automated payment terminal

We developed a live demo of an automated payment terminal for a retail application.

The Embedded Vision System quickly identifies and classifies products in a shopping basket and displays prices. This demo shows how a combination of artificial intelligence and lean embedded vision systems can be used to develop innovative embedded applications that simplify our daily lives.

This is how it works

To develop the live demo, our embedded vision team worked closely with NXP Semiconductors. The result is an automated retail payment terminal based on AI software. The embedded vision system identifies and classifies the products in the shopping basket and displays the respective prices. Customers can then select which products they would like to add to their shopping basket. A trained neural network then recognizes the products via the video stream and can then display the total price - the principle is similar to a facial recognition application.

More about our embedded vision solutions

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The right hardware as a basis

The basis of our retail solution is the Basler Embedded Vision Kit, which is composed of the following components:

  • dart BCON for Basler's MIPI camera module
  • with the AR1335 sensor from onsemi
  • i.MX 8QuadMax SoC from NXP
  • i.MX 8QuadMax-based processing board
  • SMARC 2.0 carrier board

Thanks to this state-of-the-art on-device processing system, the demo setup already comes very close to the actual application. It includes all factors that are necessary for image processing.

Discover the Embedded Vision Portfolio

The secret is in the software

The software makes up an essential part of this application. It consists of two main components - the system software and the application software.

Let's look at the system software first: The various elements of the system software must be interconnected and form a coherent system for the embedded system to function at all. This is where Basler can leverage its many years of vision experience to combine software elements such as NXP's Yocto kernel and BSP into a lean embedded system.

Our AI application software is based on a custom Convolutional Neural Network (CNN). The model uses the latest deep learning and on-device processing techniques for fast and reliable response in a seamless scenario.

To the software for embedded vision

Advantages at a glance

With Basler's embedded vision solutions, our customers can always rely on one contact to handle all relevant coordination tasks. Our retail application offers a wide range of benefits not only to our customers, but also to retailers:

  • Scalable: products can be easily added
  • Durable and industrial-strength hardware
  • Robust system - optimized for image processing, delivers high accuracy and fast inference time
  • Cost-effective, slim design
  • Easy integration thanks to small form factor
  • Low labor costs for retailers, improved shopping experience for customers

Do you have any questions? We are happy to help.

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