Security and protection monitoring system based on face recognition and monitoring method thereof

Abstract

The invention discloses a security and protection monitoring system based on face recognition and a monitoring method thereof. The security and protection monitoring system comprises a face acquisition module, a recognition module, an analysis module, a voice prompt module, a warning module, a storage module, a network connection module, an intelligent processor module, a fault detection module and an alarm module. The monitoring method comprises the following steps: ambient light adjustment, human face information feature acquisition, human face information modeling and analysis comparison. Through the human face acquisition module, the recognition module, the analysis module, the voice prompt module, the warning module, the storage module, the network connection module, the intelligent processor module, the fault detection module and the alarm module, human face information is captured, the illumination intensity can be adjusted, the image acquisition difficulty under different ambient light is reduced, a collected person can be reminded to cooperate with the collection work, a shielding object is prevented from covering a face, precise comparison can be performed through face modeling, and matching precision is improved.

Description

technical field [0001] The invention relates to the technical field of security monitoring, in particular to a security monitoring system based on face recognition and a monitoring method thereof. Background technique [0002] With the rapid development of the economy and the continuous advancement of science and technology, in order to improve the service quality of the financial industry and people's convenience needs, automatic teller machines (Automatic Teller Machine, ATM) have played an irreplaceable role. It can be said that ATMs have brought a revolution to human economic life. However, while ATM brings convenience to human economic life, it also brings some safety hazards because of its unattended characteristics. Therefore, it is necessary to screen people who use ATMs (this screening is often implemented using face recognition algorithms) to ensure people's property safety. [0003] Most of the early face recognition algorithms were a combination of extraction a...

AI Technical Summary

Problems solved by technology

[0007] (2) There is an occluder on the face

These occluders cause great difficulty in the extraction of facial features

[0008] (3) Limitation of hardware conditions

Although face recognition algorithms based on deep learning have high accuracy, the use of these neural network models has certain requirements for hardware

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