Face recognition storage cabinet system on basis of cloud computing platforms

Abstract

The invention discloses a face recognition storage cabinet system on the basis of cloud computing platforms. The face recognition storage cabinet system comprises a face information acquisition module, a face recognition cloud server, a face recognition control instruction generation module and a door lock controller. The face recognition storage cabinet system has the advantages that cloud computing and face recognition are combined with each other, and repeated use and remote use can be carried out after one-step typing; faces can be quickly recognized by the aid of the powerful computational capability and storage capacity of cloud computing; confidential storage cabinets can have antitheft functions, and accordingly the safety of articles can be safely protected; resources can be savedby the aid of face recognition technologies, consumption of paper and ink can be reduced, and accordingly the face recognition storage cabinet system is environmentally friendly; non-contact storagecabinets can be implemented by the aid of the face recognition technologies on the basis of the cloud computing, and accordingly the face recognition storage cabinet system is good in user experience.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a face recognition locker system based on a cloud computing platform. Background technique [0002] Lockers are widely found in public places such as supermarkets, airports, and entertainment venues. They are mainly used to facilitate people to store their personal items at any time, so as to facilitate their travel and other experiences. The switch of the locker on the market mainly adopts forms such as IC card, bar code, key at present, carries out identity verification by IC card, bar code, key etc., thereby controls the opening and closing of locker. However, the control switches in these ways have some disadvantages. For example, using IC cards and keys to control opening and closing requires a relatively high initial investment; using QR codes to control opening and closing is inconvenient to store and causes an extreme waste of resources; in addition, the...

AI Technical Summary

Problems solved by technology

However, there are some drawbacks to the control switches in these ways

For example, using IC cards and keys to control opening and closing, the initial investment is relatively high; using QR codes to control opening and closing, QR codes are inconvenient to store and cause an extreme waste of resources; in addition, there is a very fatal shortcoming that cannot be identified Whether the locker is opened by the person, this will greatly limit the development of the locker

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