Face recognition security system based on Internet of Things and operation method

Abstract

The invention discloses a face recognition security system based on the Internet of Things and an operation method. The security system comprises a plurality of face recognition security cabinets based on the Internet of Things, a cloud server side and an operation control terminal, and each face recognition security cabinet comprises a control cabinet body and a plurality of storage drawers arranged in the transverse direction and the longitudinal direction; the control cabinet body is provided with an intelligent electric control lock controller, an RFID reader-writer, face recognition equipment and a router, and each storage drawer is provided with an intelligent electric control lock and an RFID antenna and used for storing a seal with an RFID electronic tag. The intelligent electric control lock is electrically connected with the intelligent electric control lock controller; the intelligent electric control lock controller is electrically connected with the face recognition equipment; the RFID antenna is electrically connected with the RFID reader-writer; the RFID reader-writer and the face recognition device are electrically connected with the router, and the router is connected with the cloud server side through a network. The invention further comprises an operation method of the face recognition security system based on the Internet of Things. The operation method comprises the steps: 1, collecting face feature values: 2, applying for recognition by the operation end; 3, recognizing and operating the security cabinet.

Description

technical field [0001] The invention relates to the field of security technology, in particular to a face recognition security system and an operation method based on the Internet of Things. Background technique [0002] The current face recognition method used in security cabinets is to store multiple authorized face features in the face recognition device and compare them in real time. Since the face recognition device itself stores multiple real face features, its security is low, and it is easy to steal face feature data, delete or replace the face feature data in the device, resulting in legitimate personnel being unable to be detected by face Identify device identification. [0003] Face recognition equipment lacks flexibility and scalability in use. When the equipment fails and needs to be replaced, all facial feature data in the equipment needs to be re-collected. Due to the uncertain timeliness of data re-collection, it seriously affects production efficiency; The...

AI Technical Summary

Problems solved by technology

Since the face recognition device itself stores multiple real face features, its security is low, and it is easy to steal face feature data, delete or replace the face feature data in the device, resulting in legitimate personnel being unable to be detected by face Identify device identification

[0003] Face recognition equipment lacks flexibility and scalability in use. When the equipment fails and needs to be replaced, all facial feature data in the equipment needs to be re-collected. Due to the uncertain timeliness of data re-collection, it seriously affects production efficiency; The facial features collected by the face recognition device can only be used for personal identification on this device, and cannot be used for cross-device recognition

If personnel changes, it is necessary to perform repeated addition, modification or deletion operations in multiple devices, which is cumbersome and inefficient

[0004] When there is a lot of data stored in the face recognition device, the pressure on device comparison is too great, resulting in a long time for comparison and recognition, which cannot meet the application scenarios that require timeliness

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