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The AIRI Center, is partnering with DataLogic, a global technology leader in the automatic data capture and factory automation markets, on a cutting-edge research and development project called “FLUTE - FLessibilità, Usabilità, faciliTà di installazione e configurazione, Ecosostenibilità”. 

Specifically, the AIRI Center is concentrating on a research activity dubbed "Scan-Sentry" which is focused on developing the next generation of self-checkout systems with artificial intelligence (AI) capabilities. The new systems will be equipped with state-of-the-art AI models that can detect and analyze human behavior during self-checkout operations.

 

Self-Checkout System based on Fresco scanner and featuring an overhead camera

 

 

The AI system is designed to detect any shoplifting attempt or honest mistakes made by customers. For example, the system is able to detect if a customer scans the wrong item or if he is trying to steal it by performing the scanning operation abnormally or incorrectly. This will help supermarkets to reduce losses due to theft and improve the overall shopping experience for customers.

Leveraging Deep Learning and Computer Vision techniques, the AIRI Center is developing a prototype AI system with cutting-edge human behavior understanding solutions. The emphasis is on comprehending gestures through analysis of hand movements and hand-glove interactions. Additionally, the system employs advanced multi-view object recognition techniques to identify even the most intricate shoplifting attempts.

This project is a perfect example of how collaboration between industry and academia can lead to the development of innovative solutions that can benefit society as a whole. The AIRI Center and DataLogic are committed to continuing their collaboration to develop state-of-the-art technologies that can enhance the shopping experience for customers and help supermarkets tackle the long-standing shoplifting problem.

 



Project Info

vedi

Staff:

Duration:

17/06/2022 - 17/06/2023

Funded by:

Datalogic

Project type:

Commercial