Face identification big data monitoring and prompting system

Abstract

The invention provides a face identification big data monitoring and prompting system. A communication module is a WiFi module, a lot of face information can be obtained through a camera array to establish a database, big data analysis is carried out, illegal intrusion or suspicious identity of a specific area can be identified, an administrator can be notified, and the antitheft effect is realized; the identified person realizes remote keyless entry through a face identification APP, the door-opening information is uploaded to a database server through network; remote keyless entry is realized, a safety state of a dormitory is indentified in a remote mode, a bluetooth module is used for connecting a cellphone client and a gate inhibition terminal motor lock, and the door opening / closing functions can be achieved; a motor lock module is composed of power supply, a motor and a gear, and when a door opening / closing signal is received, door opening / closing can be automatically executed. The face identification big data monitoring and prompting system with simple wiring and high data transmission efficiency can be realized.

Description

technical field [0001] The invention belongs to the field of electronic technology, in particular to a monitoring and reminding system for face recognition big data. Background technique [0002] Door locks and access control systems, as a system for controlling entrances and exits, have received more and more attention. The campus dormitory is a relatively densely populated area, and the access control system is seldom used. Although many video surveillance devices are installed, it is still very prone to theft cases. The smart door locks that have emerged in recent years are based on motor locks, electric control locks, magnetic locks, fingerprint locks, etc., and control the door lock technology through smart terminals. The combination of Bluetooth and WiFi communication technology is applied to existing door locks. It can build short-range control door locks based on Bluetooth communication technology, or remote control door locks based on mobile phone APP and WIFI comm...

AI Technical Summary

Problems solved by technology

If the door lock must be unlocked with the help of a password, if the password is leaked, it may be illegally entered; it is difficult to realize the remote control function, for example, if the legal user who has the right to unlock the lock is far away, it is difficult to open the door for the user who forgot to bring the key or the visitor in front of the door ; Existing fingerprint locks are greatly affected by dry and wet fingers, potential fingerprints, and sensor life; existing smart door locks cannot be integrated with video surveillance networks, and the data utilization rate is low; if existing mobile phone smart door locks want to improve security , often with complex schemes, high failure rates, and high costs

[0004] With the advancement of mobile phone face recognition technology and big data analysis, it provides a more convenient and safer solution for the progress of smart door locks. However, there are few products based on big data and face recognition in the market. Campus dormitory access control system

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