Scan and Save is a machine-learning prototype that demonstrates how object recognition AI can be deployed within physical retail environments. The Scan and Save AI model was trained on images of various convenience store products. Shoppers can self-discover in-store whether a product has a promotional offer associated with it by placing the product on a physical target space. A camera aimed at the target displays the live feed onto a screen. If a product with a promotional offer is recognized by the Scan and Save AI, the screen automatically changes to display advertising video content of the product promotion.
The logo was designed so that the “+” represents the word “and” in Scan and Save. When displayed on screen with a 90 degree rotation, the “+” appears as an “x”, providing a central target of placement for the selected product.
When a recognized product with a promotional offer is placed before the camera it triggers the automatic playback of advertising video content for the product.
When a recognized product without a promotional offer is placed before the camera it triggers the automatic playback of a message indicating no offer was found for the product.