Face recognition method based on coffee machine and coffee machine

Abstract

The invention discloses a face recognition method based on a coffee machine and a coffee machine, the method involves controlling the camera to start working and taking photographs of his head for facial analysis and recognition when a customer's touch operation on the coffee machine 's operation interface; upon recognizing that the current face belongs to a new customer, the machine adds an entryfor the new customer in the database, and records the customer's transaction detail after the customer completes the transaction; when recognizing that the current face belongs to an old customer inthe database, the machine searches the customer data in the database to recommend the coffee type, and updates the customer profile real time information after the customer completes the transaction.The invention performs facial recognition on the customers operating the coffee machine, performs corresponding coffee recommendation according to whether he is a new customer or old, and at the sametime stores and updates customer information in real time, and further recommend a large volume transaction according to the customer information and preferences, or choose the coffee type that the customer has purchased before, thus saving transaction time.

Description

Technical field [0001] The invention relates to the field of beverage vending machines, in particular to a coffee machine based on a face recognition method of a coffee machine. Background technique [0002] People apply electronic technology to coffee machines to realize automatic control of the whole process of brewing coffee, such as grinding, pressing powder, filling powder, brewing, removing residue, and filling cups, creating a coffee machine. [0003] In the context of new consumption, unmanned coffee retail self-service projects can effectively reduce labor costs. In addition to reducing labor costs, unmanned coffee projects have a smaller footprint, lower rents, and more scenarios for merchants to choose, such as , Airports, schools, convenience stores, bookstores, office buildings, etc., through fragmented scenes, can frequently reach users, improve efficiency, and have more transaction opportunities. [0004] At present, there are many automatic coffee machines that autom...

AI Technical Summary

Problems solved by technology

[0007] In view of the deficiencies in the prior art above, the purpose of the present invention is to provide a face recognition method based on a coffee machine, which aims to solve the defect in the prior art that coffee types cannot be recommended according to different customer correspondences

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