Intelligent retail system based on face recognition

Abstract

An intelligent retail system based on face recognition comprises a plurality of first cameras, a plurality of sensors, a loudspeaker, a background management server, a touch display screen and a second camera, first customer head portraits are captured through the first cameras at the entrance of a store, and after the first customer head portraits are matched, old customers or new customers are judged; for a new customer, the new customer is guided to the touch control display screen through voice for two-dimensional code scanning, when the new customer scans a two-dimensional code, a second customer head portrait of the new customer and related information of the mobile terminal are obtained, a new customer record is created, and the whole member registration process of the new customer is automatically guided and completed by the system. The new customer can register as a member only by scanning the two-dimensional code, one-key member registration is realized, a customer head portrait is stored in a customer record, the old customer or the new customer can be judged when the customer walks into a store, the visit times and consumption preferences of the old customer can be recorded, a retailer is helped to optimize an operation strategy and supply chain management, the cost is reduced, Cost reduction and benefit increase.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an intelligent retail system based on face recognition. Background technique [0002] In the prior art, the heat map of each retail area of ​​the mall has been used to support the technology, and the monitoring system is used to detect multiple retail areas of the mall and determine the number of people in each retail area, and the monitoring system includes multiple sensors, such as cameras , motion sensors, etc.; use the heat map generation module to generate a heat map based on the number of people in each retail area; then use the heat map analysis module to determine the customer's shopping scene and route, so as to provide operators with decision-making data for each retail area. However, this technology only counts and analyzes customer traffic and walking routes, and does not involve how to guide customers to consume or guide customers to become members. ...

AI Technical Summary

Problems solved by technology

[0003] Many potential customers just hold the idea of ​​going into the store, without thinking too much, just want to find surprises. At this time, if the shopping guide intervenes prematurely, it will cause the resistance of these potential customers and make potential customers fill in. It is even more impossible to register as a member. The main reasons are: (1) potential customers have no idea in this regard; (2) the current membership registration procedures are more troublesome

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