What are the problems in the protective cabin of ATM machine


According to the data provided by the authoritative agency, "a security guard is absorbed in a video image with less changes, and the brain is almost paralyzed after 20 minutes of connection", thus losing the function of prevention and active intervention of the monitoring system to a large extent. In many cases, human beings are not completely reliable observers. When observing real-time video streams or video playback, they often cannot detect security threats due to the different personal conditions of the monitors and their own physical weaknesses.

1. Due to human's own weakness, it is easy to fail to report.

According to the data provided by the authoritative agency, "a security guard is absorbed in a video image with less changes, and the brain is almost paralyzed after 20 minutes of connection", thus losing the function of prevention and active intervention of the monitoring system to a large extent. In many cases, human beings are not completely reliable observers. When observing real-time video streams or video playback, they often cannot detect security threats due to the different personal conditions of the monitors and their own physical weaknesses.

2. Due to the lack of intelligence factors, it is also easy to cause false positives and false positives.

False alarm and false alarm are two common problems in the video monitoring system of ATM protective cabin. Misreporting means that when a security threat occurs at a monitoring point, the threat is not detected by the monitoring system or security personnel. False alarm means that the security activity at the monitoring point is mistaken for a security threat, thus generating false alarm.

3. Due to the lack of intelligent factors, data analysis is difficult.

The analysis of video data after an alarm is usually one of the tasks that security personnel must do, while the false alarm and false alarm further aggravate the demand for data analysis. The security personnel are often required to find out the video data related to the alarm event, find the perpetrators, determine the accident responsibility or evaluate the security threat of the event.

Due to the lack of intelligent factors in traditional video monitoring systems, video data cannot be effectively classified and stored, and can only be labeled with time tags. Therefore, data analysis becomes extremely time-consuming and it is difficult to obtain all relevant information. The frequent false alarm phenomenon further increases the useless data, which brings greater difficulty to data analysis.

4. Due to the lack of intelligence, the response time is long.

The response speed to the security threat of ATM protective cabin is related to the overall performance of a security system. The traditional TV monitoring system is usually responded to and handled by security staff, which is sufficient for dealing with general security threats with low real-time response requirements. However, in many cases, when a threat occurs, multiple functional parts of the security system, even multiple security-related departments, need to coordinate and cooperate in a short time to deal with the crisis. At this time, the response speed of the monitoring system will directly affect the user's personal or property loss.

5. Due to the lack of intelligent factors, such abnormal behaviors as stealing, robbing cards and money in front of ATM cannot be stopped in time.

Because the traditional tailgate security monitoring system does not have the intelligent function of detecting, identifying, pre-warning and alarming the abnormal behavior of personnel, it creates opportunities for criminals to take advantage of, which poses a threat to the personal and property safety of normal cardholders, such as the possibility of stealing, robbing cards and money.

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