SMART SELF-SERVICE CHECKOUT
Project background:
The objective was to develop a self-service checkout by using a computer vision solutions in terms to improve customer service, make existing processes more efficient and make daily taskseasier for employees. This technology allows to automate product recognition, reducing the need for manual input and speeding up the checkout process.
Biggest challenges: the variety of the food and its appearance, different placements of the food on the plate (stacked on top of each other, covered with sauce, etc.).
Solution:
Developed a self-service checkout system that recognises food by visual appearance. The system recognises food placed on a tray below the system screen, generates a shopping list, exchanges data with the POS database to obtain a price, generates a shopping list and displays it on the screen. The system is integrated with the payment process and customer loyalty card acceptance call.
The system also includes a user-friendly UI for the checkout screen, a backend, and a cashier/administrator view for solving different situations.
Computer vision and machine learning solutions are built into the system and tailored specifically for this task. Visual data processing is real-time.
Key benefits:
- Modernised customer service;
- Optimised workforce and efficiency.
