The ATM is divided into dependent type and off-line type according to whether or not it is built together with outlets, and can be divided into lobby type and wall type according to the form. ATMs in different environments have different criminal methods and corresponding preventive measures should be more targeted. ATM ATMs are on duty throughout the day, and multiple cameras are deployed to observe the activities of personnel in multiple directions. There are also voice intercom, alarm emergency buttons and access control. There are multiple emergency plans to deal with when danger occurs.
Off-line ATMs are self-service devices set up outside of banking outlets. It is very common to place ATMs in large residential areas, important tourist attractions, large shopping malls, hotels and restaurants. However, the off-line type, especially through-wall type ATMs, are not sufficiently defensive, providing criminals with an opportunity to pry into their passwords, install card readers, attack behind them, steal cards, and post false advertisements. Activities, criminals also tend to such ATMs for financial services.
With the increase in the number of off-line ATMs, the risks in operations and management are also becoming increasingly apparent. How to manage off-line ATMs becomes an important issue for the banking industry. For this reason, the bank has built an ATM alarm system. Its general configuration is generally composed of cameras, alarm inputs, sensors, alarm outputs, video storage, and transmission equipment. Has the following features:
· Audio and video encoding and storage via embedded video recorders;
· Remote management through the network;
· With infrared body sensor, vibration sensor, etc., and video video movement linkage;
Each ATM has two cameras, front and bank outlets, and self-service banks generally install 1-2 cameras. A self-service bank installs a camera at the door.
Support network monitoring platform.
However, as an all-weather, unattended, outdoor use financial transaction device, ATM still has many security risks. Its main problems are in the following aspects.
• ATM frontal camera dynamic range, installation angle, lighting and other reasons have caused the capture of the face of the withdrawal person in some cases or cannot be seen clearly;
· The ATM panel camera has a limited monitoring range. A single camera cannot cover the entire ATM such as the card slot, cash-out port, keyboard zone, and key zone.
·Cannot automatically analyze and report illegal activities against ATM in time, including: swallow card + false prompt, stealing number + pseudo card, swallow card + fake keyboard number, block cash withdrawal port, block cash withdrawal port + false prompt + copy bank Card, abnormal face blocking, etc.
· It is not possible to automatically analyze and report illegal activities against self-service banking in a timely manner, including: robbery, trailing closeness when ATM withdraws money, defects, unknown objects left behind, detention, etc.;
· Self-service banking and ATM cameras, sensors in ATMs, infrared sensors installed in self-service banks, and access control devices have not yet been integrated into effective active defense systems. Active defense systems refer to intelligent image analysis and multi-information fusion processing. Automatically filter interference and issue alarm information in a timely and effective manner;
• Video storage is generally triggered by time or motion detection. Video cannot be queried by an alarm event, and retrieval takes a long time.
Intelligent System Architecture of ATM Monitoring System
Existing ATM monitoring systems generally do not have intelligent video analysis capabilities. Security personnel are required to monitor various types of screens at the monitoring center for 24 hours in order to stop the criminal activities against ATMs in real time. The monitoring center cannot have enough manpower and energy to carry out 24-hour real-time monitoring of all ATM equipment. In many cases, post-processing can only be performed by calling video data after the crime has occurred. The case has already occurred. The loss to the victim's mental and material resources as well as financial institutions is immeasurable.
In order to meet the needs of business development, improve the bank's comprehensive safety management level, integrate resources on the basis of existing monitoring equipment, realize unified monitoring, unified management, and unified disposal, and build an intelligent monitoring system with online real-time analysis and early warning. . Rapid analysis of massive information, filtering of useless information, detection of abnormal conditions in the monitoring screen, can provide alarms and provide information in the best possible way, effectively assisting security personnel in handling the crisis, and minimizing false positives and false negatives.
The intelligent video surveillance system is roughly composed of two parts: the front-end intelligent video analyzer and the monitoring management server located in the monitoring center.
Intelligent video surveillance system components
1, intelligent video analyzer
The intelligent video analyzer is the core of the ATM intelligent monitoring system. It collects the video images taken by the camera and separates the people, vehicles or objects in the image from the background for detection, analysis and tracking. Comparing the behavior pattern of the tracked object with preset safety rules. If any violation is found, the alarm information and corresponding image will be sent through the network and displayed on the monitoring station, and the information will be recorded on the central management server for the future. Review and review.
2, monitoring management server
The monitoring management server is a management platform installed in the monitoring center. The server functions include front-end intelligence and DVR device management, streaming media forwarding, central storage management, large-screen display management, WEB service management, and alarm processing. The server also includes intelligent video analysis system configuration and alarm rule setting tools.
In general, vibration sensors are used to deal with impacts, and fires are fire-specific smoke detectors and fire detection sensors. Both are conventional configurations. The ATM smart video analysis function that the bank tends to adopt at present has the following several points.
The detection of the payer's facial features, the withdrawal of the payer's facial feature parameters and automatic capture of a clear face photo, can be used for background blacklist comparison;
· To detect the abnormal face of the payer (masked, with sunglasses, cover the face, etc.), when an abnormal face condition is detected, issue an early warning to the monitoring center;
·Inspect the abnormal appearance of ATM, such as adding false panels, card readers, stickers, etc., and issue an early warning;
· Suspicious activities in a noodle withdrawal area, such as close to peeping, crowding, etc., the system promptly issued a warning and issued an on-site police alert to the beneficiary;
· Abnormal behaviors occurring inside and outside the self-service bank, such as embarrassment, falling into the ground, detention, etc.;
· Detection of personnel activities in the cash register.
The system needs to pay attention to points
To improve the security protection level of ATM, it needs to consider from many aspects such as equipment, technology, scheme, engineering, and communication. In order to achieve significant preventive effect and give full play to the role of ATM intelligent monitoring system, ATM intelligent monitoring system should pay attention to:
· Using intelligent video analysis capabilities, such as face detection to determine anomalous faces, must ensure reliable video sources to ensure that the image has the appropriate clarity and illuminance; in the implementation process, many face ATM cameras are often found in the face of the dynamic range of the camera Small, improper installation height and angle, resulting in incomplete face shooting, too dark face, etc. In these cases, it is not suitable for the face detection function. It is necessary to use a wide dynamic pinhole camera and adjust the installation position of the camera.
• In environments with large light interference, such as direct sunlight and reflection of glass, it can also cause false alarms in smart video detectors. Take stickers as an example. The front panel, one meter line, and other parts are vulnerable to light. They are mistakenly judged as people entering or leaving the withdrawal area, and notes are attached to the panel.
• In order to reduce false positives, there is also an increase in video, such as positive faces, to determine whether there are people. However, in some scenarios, the effect will be unsatisfactory. Can consider adding auxiliary sensors to confirm the results of intelligent judgment, such as infrared sensor, microwave human detection sensor, thin film pressure sensor, etc.;
· Intelligent function applications are selective and do not require all functions to be used at each site. Such as abnormal face detection, one meter of multi-person detection, for off-line through-wall ATM more targeted;
· Abnormal behavior detection, such as detention, falling into the ground, etc., is more suitable for use in self-service banking halls with larger activity space;
· Preventing/preventing crime is better than catching it afterwards. If a customer is explicitly prompted to withdraw money or enter a self-service bank, it will be captured and the HD camera will be used to capture the face in a large scene. Criminals will not be willing to take snapshots. The risk is that the likelihood of its occurrence will be significantly reduced. ATMs and self-service banks equipped with voice intercom and automatic voice prompts also have a deterrent effect on criminals;
Enhanced ATM and self-service banking monitoring. Many existing banks have begun to install ATM protection warehouses, and the safety of users entering protective warehouse operations has been guaranteed. However, from the cases that have occurred, many of them occurred after leaving ATMs and banks. It is recommended to install a panoramic HD camera at the periphery, equipped with intelligent abnormal behavior analysis functions, such as features such as squatting, staying, suspicious face/car license plate detection;
· Improve the reliability of the monitoring system, monitoring equipment needs to work day and night, failure requires immediate maintenance. However, due to the large number of equipment and large manual maintenance, serious problems such as camera shooting, DVR not recording, etc. cannot be discovered in time. The intelligent analysis system can provide the abnormal image analysis function, and combined with the diagnostic function of the storage device, it can realize automatic equipment inspection such as camera abnormalities such as being blocked, shifting, abnormal brightness, network transmission interruption, and DVR not recording.
Conclusion
From the perspective of the development trend of the monitoring industry, more and more high and new technologies will be applied to bank monitoring. Intelligent video analysis technologies such as face detection, abnormal behavior detection, and image quality diagnosis are applied to ATM monitoring products. Continuously improve the function of ATM monitoring to make it better and more secure for the majority of users to provide safe, high-quality services.
Off-line ATMs are self-service devices set up outside of banking outlets. It is very common to place ATMs in large residential areas, important tourist attractions, large shopping malls, hotels and restaurants. However, the off-line type, especially through-wall type ATMs, are not sufficiently defensive, providing criminals with an opportunity to pry into their passwords, install card readers, attack behind them, steal cards, and post false advertisements. Activities, criminals also tend to such ATMs for financial services.
With the increase in the number of off-line ATMs, the risks in operations and management are also becoming increasingly apparent. How to manage off-line ATMs becomes an important issue for the banking industry. For this reason, the bank has built an ATM alarm system. Its general configuration is generally composed of cameras, alarm inputs, sensors, alarm outputs, video storage, and transmission equipment. Has the following features:
· Audio and video encoding and storage via embedded video recorders;
· Remote management through the network;
· With infrared body sensor, vibration sensor, etc., and video video movement linkage;
Each ATM has two cameras, front and bank outlets, and self-service banks generally install 1-2 cameras. A self-service bank installs a camera at the door.
Support network monitoring platform.
However, as an all-weather, unattended, outdoor use financial transaction device, ATM still has many security risks. Its main problems are in the following aspects.
• ATM frontal camera dynamic range, installation angle, lighting and other reasons have caused the capture of the face of the withdrawal person in some cases or cannot be seen clearly;
· The ATM panel camera has a limited monitoring range. A single camera cannot cover the entire ATM such as the card slot, cash-out port, keyboard zone, and key zone.
·Cannot automatically analyze and report illegal activities against ATM in time, including: swallow card + false prompt, stealing number + pseudo card, swallow card + fake keyboard number, block cash withdrawal port, block cash withdrawal port + false prompt + copy bank Card, abnormal face blocking, etc.
· It is not possible to automatically analyze and report illegal activities against self-service banking in a timely manner, including: robbery, trailing closeness when ATM withdraws money, defects, unknown objects left behind, detention, etc.;
· Self-service banking and ATM cameras, sensors in ATMs, infrared sensors installed in self-service banks, and access control devices have not yet been integrated into effective active defense systems. Active defense systems refer to intelligent image analysis and multi-information fusion processing. Automatically filter interference and issue alarm information in a timely and effective manner;
• Video storage is generally triggered by time or motion detection. Video cannot be queried by an alarm event, and retrieval takes a long time.
Intelligent System Architecture of ATM Monitoring System
Existing ATM monitoring systems generally do not have intelligent video analysis capabilities. Security personnel are required to monitor various types of screens at the monitoring center for 24 hours in order to stop the criminal activities against ATMs in real time. The monitoring center cannot have enough manpower and energy to carry out 24-hour real-time monitoring of all ATM equipment. In many cases, post-processing can only be performed by calling video data after the crime has occurred. The case has already occurred. The loss to the victim's mental and material resources as well as financial institutions is immeasurable.
In order to meet the needs of business development, improve the bank's comprehensive safety management level, integrate resources on the basis of existing monitoring equipment, realize unified monitoring, unified management, and unified disposal, and build an intelligent monitoring system with online real-time analysis and early warning. . Rapid analysis of massive information, filtering of useless information, detection of abnormal conditions in the monitoring screen, can provide alarms and provide information in the best possible way, effectively assisting security personnel in handling the crisis, and minimizing false positives and false negatives.
The intelligent video surveillance system is roughly composed of two parts: the front-end intelligent video analyzer and the monitoring management server located in the monitoring center.
Intelligent video surveillance system components
1, intelligent video analyzer
The intelligent video analyzer is the core of the ATM intelligent monitoring system. It collects the video images taken by the camera and separates the people, vehicles or objects in the image from the background for detection, analysis and tracking. Comparing the behavior pattern of the tracked object with preset safety rules. If any violation is found, the alarm information and corresponding image will be sent through the network and displayed on the monitoring station, and the information will be recorded on the central management server for the future. Review and review.
2, monitoring management server
The monitoring management server is a management platform installed in the monitoring center. The server functions include front-end intelligence and DVR device management, streaming media forwarding, central storage management, large-screen display management, WEB service management, and alarm processing. The server also includes intelligent video analysis system configuration and alarm rule setting tools.
In general, vibration sensors are used to deal with impacts, and fires are fire-specific smoke detectors and fire detection sensors. Both are conventional configurations. The ATM smart video analysis function that the bank tends to adopt at present has the following several points.
The detection of the payer's facial features, the withdrawal of the payer's facial feature parameters and automatic capture of a clear face photo, can be used for background blacklist comparison;
· To detect the abnormal face of the payer (masked, with sunglasses, cover the face, etc.), when an abnormal face condition is detected, issue an early warning to the monitoring center;
·Inspect the abnormal appearance of ATM, such as adding false panels, card readers, stickers, etc., and issue an early warning;
· Suspicious activities in a noodle withdrawal area, such as close to peeping, crowding, etc., the system promptly issued a warning and issued an on-site police alert to the beneficiary;
· Abnormal behaviors occurring inside and outside the self-service bank, such as embarrassment, falling into the ground, detention, etc.;
· Detection of personnel activities in the cash register.
The system needs to pay attention to points
To improve the security protection level of ATM, it needs to consider from many aspects such as equipment, technology, scheme, engineering, and communication. In order to achieve significant preventive effect and give full play to the role of ATM intelligent monitoring system, ATM intelligent monitoring system should pay attention to:
· Using intelligent video analysis capabilities, such as face detection to determine anomalous faces, must ensure reliable video sources to ensure that the image has the appropriate clarity and illuminance; in the implementation process, many face ATM cameras are often found in the face of the dynamic range of the camera Small, improper installation height and angle, resulting in incomplete face shooting, too dark face, etc. In these cases, it is not suitable for the face detection function. It is necessary to use a wide dynamic pinhole camera and adjust the installation position of the camera.
• In environments with large light interference, such as direct sunlight and reflection of glass, it can also cause false alarms in smart video detectors. Take stickers as an example. The front panel, one meter line, and other parts are vulnerable to light. They are mistakenly judged as people entering or leaving the withdrawal area, and notes are attached to the panel.
• In order to reduce false positives, there is also an increase in video, such as positive faces, to determine whether there are people. However, in some scenarios, the effect will be unsatisfactory. Can consider adding auxiliary sensors to confirm the results of intelligent judgment, such as infrared sensor, microwave human detection sensor, thin film pressure sensor, etc.;
· Intelligent function applications are selective and do not require all functions to be used at each site. Such as abnormal face detection, one meter of multi-person detection, for off-line through-wall ATM more targeted;
· Abnormal behavior detection, such as detention, falling into the ground, etc., is more suitable for use in self-service banking halls with larger activity space;
· Preventing/preventing crime is better than catching it afterwards. If a customer is explicitly prompted to withdraw money or enter a self-service bank, it will be captured and the HD camera will be used to capture the face in a large scene. Criminals will not be willing to take snapshots. The risk is that the likelihood of its occurrence will be significantly reduced. ATMs and self-service banks equipped with voice intercom and automatic voice prompts also have a deterrent effect on criminals;
Enhanced ATM and self-service banking monitoring. Many existing banks have begun to install ATM protection warehouses, and the safety of users entering protective warehouse operations has been guaranteed. However, from the cases that have occurred, many of them occurred after leaving ATMs and banks. It is recommended to install a panoramic HD camera at the periphery, equipped with intelligent abnormal behavior analysis functions, such as features such as squatting, staying, suspicious face/car license plate detection;
· Improve the reliability of the monitoring system, monitoring equipment needs to work day and night, failure requires immediate maintenance. However, due to the large number of equipment and large manual maintenance, serious problems such as camera shooting, DVR not recording, etc. cannot be discovered in time. The intelligent analysis system can provide the abnormal image analysis function, and combined with the diagnostic function of the storage device, it can realize automatic equipment inspection such as camera abnormalities such as being blocked, shifting, abnormal brightness, network transmission interruption, and DVR not recording.
Conclusion
From the perspective of the development trend of the monitoring industry, more and more high and new technologies will be applied to bank monitoring. Intelligent video analysis technologies such as face detection, abnormal behavior detection, and image quality diagnosis are applied to ATM monitoring products. Continuously improve the function of ATM monitoring to make it better and more secure for the majority of users to provide safe, high-quality services.
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