About
Using advanced computer vision algorithms, Seereco identifies products,
including those difficult to distinguish for the human eye (for example, visually similar apple varieties or lettuce varieties), and helps quickly and accurately add the item to the receipt.
The product takes into account numerous factors, including geometric features and texture characteristics of items, and copes with the task even when the product is in a plastic bag or not.
We Prioritise Efficiency
Time Required To Identify the Type Of Object
0.1 Secs
Accuracy of object type recognition
95%
Reduced Operators Efforts by
30%
Types of objects detected by the neural netowrk
500
Case: Checkout Queue
Reality:
Fruits and vegetables are weighed and scanned at the checkout. Customers in line are not happy when the line moves slowly or stops altogether because of a cashier's hesitation.
Adding a product to a check takes from 14.5 seconds
Fruits and vegetables makes up 30% of the items on the check and its execution significantly slows down the queue
Sometimes cashiers do not correctly
determine the items, adding a visually
similar products to the receipt
Solution of the future: Seerco
An application for visual identification of fruits, vegetables and greens at the supermarket checkout. The system
identifies the product and offers the cashier 3 options to choose from.
Saving 1,300 hours of cashier time per year by reducing checkout time
We increased capacity of the store by 20,000 people per year after installing our software on 5 checkouts