Automatic teller machine (ATM) pre-warning method and system based on computer vision

Abstract

The invention discloses an automatic teller machine (ATM) pre-warning method based on computer vision. The method comprises the following steps of: 1, setting a detection region and a human body entry region of an ATM panel in an ATM monitoring view field, and learning a video without people to acquire a statistical model of a scene; and 2, judging whether ATM operation is frequent by detecting the human body detection region, and judging whether an abnormal situation exists before a human body enters and after the human body enters. The method has the advantages that: such abnormal situations that a camera is shielded, a fraud advertisement is pasted, a card reader is arranged, the ATM operation is frequent and the like can be analyzed timely and reliably through a computer vision technology, so that the working strength and the investment cost for monitoring by workers are reduced effectively; furthermore, interference factors, such as sunshine and the like, can be avoided effectively, the warning accuracy is high, the mis-warning rate is low, the instantaneity is high, and an ATM pre-warning requirement can be well met.

Description

technical field [0001] The invention belongs to the field of intelligent safety precautions, and relates to an ATM early warning method and system based on computer vision. Background technique [0002] With the development of banking business, the rapid development of electronic construction, the increasing number of ATM automatic teller machines and self-service areas and the popularization of use, according to conservative estimates, the total number of ATMs in my country will exceed 150,000 by 2011. ATM machines have played an active role in facilitating people's lives and activating the financial market. However, due to the automatic withdrawal function and unattended features of ATM machines, many criminals have reached out to them, illegally operating by blocking surveillance cameras, and obtaining user information by installing fake card readers and pasting fake reminders. Defrauding users of money, etc., on the one hand, caused huge losses to cardholders; on the o...

AI Technical Summary

Problems solved by technology

This is a very heavy work that requires a lot of manpower and financial resources. At the same time, due to various factors such as manual long-term monitoring, fatigue and distraction, this method is prone to missed detection. Therefore, through computer vision It is of great practical significance to analyze the abnormal situation of ATM machines in a timely and reliable manner.

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