Face shield identification method combined with ATM

Abstract

The invention relates to a face shield identification method for identifying a face in front of an ATM. The method comprises the following steps: the ATM sends a trigger signal to start real-time video acquisition and identification function after an ATM user inserts a bank card; during identification, firstly a moving area is collected by using a background modeling technology, and accurate robust analysis and judgment are performed on four face characteristic shield conditions. If the face characteristic shield conditions pass the detection, reliability verification can be further performed so as to guarantee the detection accuracy; the detection results are fed back to the ATM by communication network; the ATM decides whether to allow the ATM user to withdraw money. The method disclosed by the invention can ensure that the face information of the ATM user is clearly recorded whenever the ATM user withdraws money, prevents failed identification caused by incomplete face information during a video tracing process, prevents embezzling of bank cards, guarantees the safety of the bank cards and further improves the safety protective capability of a traditional ATM.

Description

Technical field [0001] The invention relates to a video monitoring system of a bank department, in particular to a face occlusion recognition method in a video monitoring system used for bank ATM cash withdrawal. Background technique [0002] With the development of computer vision technology and the increasing frequency of financial transactions, as the number of ATM machines deployed and the frequency of use continues to increase, criminal cases targeting and using ATM machines are also increasing. As a fast bank self-service transaction system, ATM machines are being used by more and more people. Protecting ATM machines from damage and the property safety of ATM users are crucial to reducing bank financial losses and increasing the safety and reliability of bank services. important. [0003] In recent years, the number of criminal cases targeting and using ATM machines in my country has been increasing, and the nature of the crimes has become worse and worse, which is not condu...

AI Technical Summary

Problems solved by technology

However, when criminals steal other people's bank cards to withdraw money, they usually cover their faces. Therefore, it is difficult to obtain useful information from the video footage, which makes the existing video recording methods of little significance for tracking down criminals.

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