Understanding customer behavior can help improve the quality of any sales system. We solved this problem by using cameras equipped on shelves, combined with AI technology on edge devices.
Capturing the needs of customers helps retailers like supermarkets to come up with the right strategies. Some of them like how to arrange products on shelves, allocate consultants to needed areas.
We develop a camera-based solution that helps identify customer activity.
Identification results are combined from analysis of shelf layout and hand detection-tracking algorithm.
From there, we can know which products customers are taking or returning, providing useful information about customers' buying behavior.