STEMMA Recognition for product recognition

Computer vision module for automatic product recognition at self-service checkouts, weighing areas and packaging areas.

The system uses neural network algorithms to accurately identify a product based on its visual characteristics: shape, color, texture, packaging and characteristic elements. The module works without mandatory barcode scanning, which is especially valuable for unlabeled goods such as fruits, vegetables, baked goods, cooking and fresh produce. The model learns on the assortment of a particular chain and supports work with thousands of SKUs, ensuring high speed and accuracy of recognition even in difficult lighting and high traffic conditions.

Problems that product recognition software solves

Problems:

• Customer and staff errors when selecting items from the checkout menu (intentional or accidental).
• Fraud - replacing expensive goods with cheaper ones when weighing or scanning.
• Slowdown of service due to manual search of the item in the list.
• Difficulty working with unlabeled items.
• Loss of sales data due to incorrect product identification.

Business Values

Product recognition software provides:

• Loss reduction - automatic verification of product and selected item matches.
• Faster service - the customer does not have to manually search for a product in the checkout menu.
• Increased accounting accuracy - the system records each sale correctly.
• Increased customer loyalty - reduced waiting time at checkouts and weighing areas.
• Anti-fraud protection - preventing deliberate product substitution.
• Transparent analytics - accurate data on real turnover.