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    Умная касса самообслуживания с ИИ фото 1

Smart self-service checkout with AI

  1. home_icon4RM Systems
  2.  / Self-service checkouts
  3.  / Smart self-service checkout with AI
About product
Specifications
Object format: Convenience store, Hypermarket, Supermarket
Manufacturer: 4RM Systems

4RM Systems has created STEMMA software using artificial intelligence and computer vision. STEMMA can be integrated into self-service checkouts already installed in the store or supplied together with Leda SSCs developed by 4RM.

Thanks to a neural network trained for the retailer's specific assortment using YOLO technology, the software is able to instantly recognize any weight goods. This helps to reduce errors and speed up the service process.

We offer our partners different models of cooperation, such as:

  • full software package for networks with 500 or more SSC (the recognition system and datasets are hosted on the customer's server and remain in the customer's possession);
  • software subscription with service for networks with 20 to 500 SSC (the recognition system is stored on a 4RM server to which the customer has access);
  • software installation on individual SSCs (the recognition system is placed on a mini-PC inside the SSC);
  • ready-made SSCs from 4RM with pre-installed software for recognizing a wide range of products.

The project on recognition of weight goods of different colors and geometric shapes using YOLO neural network has a number of unique advantages:

  • YOLO technology. The project is based on the latest version of the You Only Look Once algorithm, which provides instant recognition of goods of different colors and shapes, which allows quick and accurate identification of a wide range of products.
  • Neural Network Training. The neural network is trained on extensive data, giving it the ability to effectively recognize both common and rare types of fruits and vegetables, even if they have non-standard shapes and shades.
  • High accuracy. Thanks to YOLO's deep learning and powerful algorithms, the system is able to distinguish between similar products, minimizing calculation errors and increasing accuracy in real-world trading conditions.
  • Fast and efficient. The system processes large amounts of data in minimal time, which speeds up the payment process at the checkout and makes it more convenient for customers.
  • Scalability. The project can be easily adapted for use in various trade formats, whether small stores or large supermarkets, making it a universal solution.
  • Increased customer satisfaction. Automating the product recognition process reduces wait times at the checkout, improving customer experience and increasing customer satisfaction.
  • Competitive Advantage. Using YOLO enables the company to offer its customers advanced recognition technology and fast data processing, making the system more accurate and efficient.
  • Strategic benefits. Analyzing data collected through artificial intelligence allows retailers to better understand customer behavior and manage inventory more effectively, which helps improve operations.
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