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Self-service Banking Intelligent Security System Construction and Its Application Value
With the wider application of self-service banking and ATMs in the financial field, and the unattended and 24-hour operation of self-service banks, criminal activities have gradually increased, crimes against ATMs have become more frequent, and the means have become more The more diverse. In order to ensure the security of assets and personnel in self-service banks, it is of great significance to build a security system that is advanced in technology, simple in operation, practical in scalability, easy to maintain, and stable in performance.
I. Analysis of the status quo
With the large-scale promotion and application of the ATM machine/self-service banking networking system, it is able to carry out various services anytime, anywhere, conveniently and quickly, which greatly improves the efficiency of the depositors in handling financial transactions and also saves a great deal of resources of financial institutions. Self-service banks in all corners of the city have brought a lot of convenience to people's lives. However, due to open, unattended, and cash-in-exit operating characteristics, they also attracted the attention of some lawbreakers, and increasingly, self-service banking cases to customers and Banks have brought great threats.
However, the existing security measures have indeed played some positive roles in the issue of self-service banking security, but diversified criminal means have exposed the current security system. For example, video surveillance is more used as evidence for subsequent investigations and it is difficult to respond to the situation in time when an incident occurs. After a business dispute or case occurs, the case can only be investigated through a large number of surveillance video materials.
Then how do we protect the safe use of bank ATMs and protect the interests of legitimate cardholders and banks through scientific and effective technical defenses? We need to build an intelligent prevention and control system to transform passive surveillance into active defense, and change the evidence afterwards Early warning.
Second, system construction
The ATM/self-service bank intelligent prevention and control solution is based on the business requirements of video surveillance and security management. The system implements intelligent analysis of the video system through human defense, physical defense, and technology defense. Alarms, access control, intercoms, intelligent protection cabins and other functional subsystems further enable the construction of intelligent prevention and control systems. The intelligent monitoring system analyzes and learns the various abnormal behaviors in the existing self-service banking monitoring scenarios to ultimately achieve "active" monitoring.
Third, construction measures:
1. Build an intelligent prevention and control system and strengthen the case prevention and control system
1) Intelligent protection cabin management to ensure user operation safety
Through the remote management of the protection bay, users' card security and personal and property safety are protected. The system can monitor in real time whether there are people in the cabin and whether the doors are locked. If a door anomaly is not locked, safety tips will be given at the first time to ensure the safety of customers; at the same time, remote control of the system can be implemented to prevent children from entering the room. , remote assistance to open the door; occurred ATM machine emergency damage, remote lock bay, to prevent criminals from escaping; many people into the cabin operations, information reporting.
2) Smart curtain management to improve business processing efficiency
The system intelligently processes ATM screen detection signals by combining automatic processing and manual intervention. Curtain management uses video prompts for automatic play processing. The watchman judges whether a business needs manual intervention. Reduce a lot of manual processing links and improve business processing efficiency.
3) Intelligent environmental monitoring to reduce fire hazards
The system intelligently monitors the key information such as temperature, humidity and smoke concentration in the banknote adding room, and synchronously superimposes it into the video system. When the set threshold value is exceeded, linkage with the video and alarm system is realized to assist the fire fighting system to reduce the fire hazard. At the same time, remote air conditioning can be controlled to adjust the environmental factors in the cash box.
4) Intelligent video analysis to enhance case prevention and control capabilities
The system integrates intelligent analysis technologies for key areas such as ATM/self-service banking customer activity areas (face areas, operation areas, and environmental areas) and cash advance rooms to meet the needs of self-service banking intelligent security supervision.
PT1: Option 1 (applicable to the construction of new outlets)
PT2: Option 2 (applicable to the transformation of old outlets)
Face detection
The system intelligent analysis detects abnormal behaviors such as wearing a mask, wearing sunglasses, adjacent faces, and multiple people operating at the same time, uploads alarm information to the monitoring center, and reminds the monitoring personnel to pay attention to the operation personnel of the ATM to avoid abnormal situations.
Intelligent panel area detection
The system intelligently analyzes and detects the behaviors of pasting advertisements, installing card readers, or installing fake keyboards, and transmits alarm information to the monitoring center to ensure the bank's security supervision and security of self-service equipment. It also supports entering/leaving of personnel in the operating area and long-term retention testing.
Environmental Area Intelligent Detection
The system intelligently analyzes and detects abnormal conditions such as area intrusion, crossing warning lines, items left behind, items moving, fast running, personnel gathering, and homelessness staying overnight. It is also linked with the monitoring and alarming platform system to achieve pre-warning and active defense and enhance background monitoring. The efficiency of work and the speed of handling incidents.
In-flight smart detection
The system can detect in-flight personnel activity in real time and conduct video intelligent analysis on abnormal situations such as personnel tailgating, personnel fighting, and personnel falling to the ground. At the same time, it reports to the remote monitoring center.
Intelligent audio detection
The system automatically performs intelligent audio detection and focuses on the detection of silent sources, environmental noise filters, audio mutations, and large-decibel noise, effectively focusing on self-banking fights, robbery and other cases.
Intelligent scene change detection
When the system automatically detects changes in the scene of the video channel screen, an alarm is generated to alert the back-office personnel to view it in a timely manner.
Smart people statistics
The system conducts intelligent number statistics for key areas such as cash-increasing rooms, guard cabins, and self-service banking environments. The number of people can be customized according to the actual situation, such as when the cash-in-cash is less than 2 people plus banknotes and ≥ 2 persons in the protection cabin. In case of an early warning. Further improve service support capabilities and ensure safe operations. The powerful and rich technology application and functional services deeply reflect the active exploration and innovative practice of Dahua in the future development of self-service banking.
2. Strengthen security risks and improve customer awareness
Through the system's intelligent remote voice delivery, a delivery plan will be formulated, and voice prompts will be regularly focused on in-line security risks, case sharing, and rules and regulations. On the one hand, it continuously strengthens the risk prevention awareness and self-protection capabilities of banks and customers. On the other hand, it can implement safety management into daily business operations.
3. Strengthen the unified management of the monitoring center and give full play to the "brain center"
1) Intelligent alarm management
The monitoring center realizes the standardization of monitoring shifts. It designs standard procedures for alarms, cases, and fault handling in the management platform, enhances the software's ability to make intelligent judgments, reduces the difficulty of on-duty personnel's attendance, and implements standardized procedures for monitoring on-duty and risk handling.
Realize the three-dimensional prevention and control of the police, from the original focus only on the alarm point information, extended to the alarm area, and provide alarm history information and statistical laws on the duty interface to prevent and control cases from the three dimensions of point, face, and time. At the same time, the lower-level monitoring center did not handle the alarm information processed according to the specified time and uploaded it to the upper-level monitoring center, and supervised the alarm in time.
For front-end intelligent prevention and control system analysis generates alarm information, rich alarm linkage, sound and light alarm, voice alert, map flashing, image wall, video linkage, LED screen linkage, PTZ linkage, SMS linkage, mail linkage and so on.
Through the accumulation of large amounts of data and changes in the law to form a police model, according to the model for in-depth information mining, hidden in the ordinary event information of the important warning, you can predict the police situation, in the timely termination of the loss of crime.
2) Intelligent Operations Management
The intelligent operation and maintenance management of the monitoring center adopts technologies such as intelligent analysis, fault detection, and workflow engine to intelligently inspect the core indicators such as the status of the equipment, video quality, and video integrity, and alarms through fault linkage, fault circulation processing, and statistical reports. The functions of user services fit the objectives of unattended, standardized management, and quantitative assessment, thereby minimizing the labor costs for the operation and maintenance of video surveillance systems, improving the level of operation and maintenance, and ensuring the safe and reliable operation of the system.
3) Statistics and Analysis
The monitoring center presents a summary of the bank's security information. It can report statistics and data from different dimensions such as basic equipment data and business data (alarm processing and equipment failure). Find hidden risks in the system and carry out predictive operation and maintenance work. For example, predicting the age of old equipment, early warning of old equipment replacement, and avoiding large areas of old equipment downtime.
Fourth, application value
1, true all-weather reliable monitoring
Intelligent video surveillance can effectively solve the problem of “burnout†brought by the central staff staring at the screen for a long time, realizing all-weather monitoring in real sense and improving the quality of video surveillance.
2. Make monitoring more valuable
The introduction of intelligent technology will change the video surveillance from the original "seeing", "seeing clearly" to "seeing to understand." Make video images more valuable.
3, tracking after the incident as a pre-warning
Numerous facts have proved that post-mortem investigation is necessary, but early warning is more important. It can suppress the hidden dangers of some major events in the bud and avoid relapses.
V. Summary
In the future, the financial industry will further develop toward smarter and big data applications. Applications will move from passive to active, from real-time reactions to ex ante prediction, and from service convergence to big data services. Based on this development trend, we are well prepared.
Traditional security is actually more in a passive application for post-mortem verification. However, with the continuous improvement of intelligent technologies, active applications and advance warning have become a reality. Face recognition, abnormal behavior analysis, number counting, audio detection and other intelligent applications fully forward the incident beforehand to effectively prevent the occurrence of various types of cases. Video enrichment, video summary retrieval, comprehensively enhance the efficiency and quality of post-processing.
Cloud storage and cloud computing under big data applications are also providing powerful guarantees for building a new generation of data centers and computing centers.
Author: Wang Kui Dahua Technology Co., Ltd. Zhejiang Solutions Manager