With the rapid development of education in our country, the scale of our country’s colleges and universities is continuously expanding. The density of students on campus is increasing. The degree of campus opening and the socialization of logistic services are also getting higher and higher. Some of the negative impacts are the frequent occurrence of campus security incidents. How to handle sudden and mass incidents in college security work, reduce campus violence, and achieve effective campus security protection are becoming the focus of security work in colleges and universities. At present, the construction of a 'safe campus' and a 'smart campus' that are being promoted by colleges and universities in China is precisely adapted to such management requirements.
It is reported that the National Standard for "Safety Technology Prevention System Requirements for Higher Education Institutions" has been compiled and is being submitted for approval. In recent years, according to the relevant provisions of the basic allocation requirements for security protection facilities for important parts of universities in local standards of various provinces and municipalities, various domestic universities and colleges have increased investment in the construction of security systems, and gradually established and improved the infrastructure for campus security technology prevention. The construction has basically established an advanced security technology prevention system supported by digital technology and network technology. However, we also see that existing security video surveillance systems have certain deficiencies: they only monitor, video, audio and other unstructured data are transmitted, stored, displayed, and shared through the network. Since a video surveillance system is generally at least tens of Road cameras, and many thousands of cameras, how to make monitoring personnel in real time and effectively obtain accurate and specific alarm events on the monitoring site has always been a problem that plagued security work. Intelligent video analysis technology can solve such problems to a certain extent. Using video digitization and feature recognition technology, it can obtain in real time the characteristics of crimes and accidents such as intrusions, thefts and other accidents occurring in the surveillance area, and alert and record the occurrence of characteristic events. This is an important application of the security monitoring system. The development trend, the country has also issued a national standard "Safety monitoring video real-time intelligent analysis equipment technical requirements" (GB/T 30147-2013) for intelligent video analysis.
College campus security guard management characteristics
The main objective of campus security management in colleges and universities is to ensure the safety of students, teachers, and campus property. The campus campus has the following main features in security management:
1. University campuses are more open than those in primary and secondary schools, and the mobility of personnel is greater; the personnel entering and leaving the campus are more complex;
2. With the increasing size of universities, more and more colleges and majors, and even more than one campus, there are a large number of teachers, colleges, and teachers and students in the school district. (Universities of tens of thousands of students are everywhere) Unable to distinguish;
3. Teachers and students, on-campus and off-campus personnel have no obvious features and are not easily distinguishable;
Based on the above characteristics, the challenges to safety management can be imagined. With the increase in the degree of openness to colleges and universities, the severity of the challenges will also increase. Digitized, networked, and intelligent campus security systems are urgently needed. Campus Security System Architecture Based on Intelligent Video Analysis Technology 
System overall framework
The main framework of the campus security system based on intelligent video analysis technology is shown in the figure above and is mainly divided into three parts:
Embedded smart video image recognition device: deployed at the front end to collect images, video signals such as people, vehicles, and perimeters, perform image analysis, and report abnormal results of the analysis to the intelligent mass data mining system of the monitoring center for reporting and alarming. This relieves the computing pressure of the system's network and back-end servers.
Intelligent mass data mining system under the cloud computing framework: for large-scale, multi-channel video image analysis and alarm processing services, such as face recognition, abnormal behavior detection, trajectory detection, etc., and front-end embedded intelligent analysis equipment The centralized management of alarm information is the technical support of the campus security system based on intelligent video analysis technology.
Information interaction and supervision module: After the intelligent analysis of the video image data, the data information is displayed on the large screen of the monitoring center and on the user terminal according to different application scenarios for the monitoring center staff and related management personnel to view. In addition, In the event of an emergency such as a fire or a burglary, the system can also send relevant information to the patrolling security personnel in the area through the user terminal and the handheld terminal device at the same time and dispose of it in time according to the emergency plan.
Through the intelligent mass data mining system under the cloud computing framework, information related to campus security and standard management can be obtained, such as information on people and vehicles entering and exiting the video surveillance area, and information on the behavior of people and vehicles. By accumulating data over a long period of time, relevant information about people's and vehicles' access, mobility, and the use of public facilities such as classrooms and reading rooms on campus can be mastered. The system not only alerts and manages abnormal events in the monitored areas, but also works in the campus area. The rational planning and orderly management of functions provides technical support. It is a basic support and research system for both security and campus big data collection and management. The main application of intelligent video analysis technology in campus security
1. Crowd gathering event detection
The monitoring scenarios are generally track and field, basketball courts, football stadiums or plazas; by monitoring video images, the crowd traffic in the monitoring area is analyzed. If the number is large and there is a certain range of movement, judge it as a large-scale crowd behavior. Automated detection and alarming of crowd gathering events that may occur. The security department carries out relevant management work in real time based on the actual situation.
2. Human abnormal behavior detection
According to the needs of the key security management areas, the access personnel are tested and tracked, and ordinary walking, running and strenuous exercise are distinguished by the classification algorithm. The main monitoring scenarios are: ATM cash machines, remote roads with few people flow, etc. Automatic detection of possible abnormal events such as robbery and chase, real-time alarms, and timely response from security departments.
3. Face recognition
The main entrances and exits of the campus are used to automatically count and capture people entering and exiting. The counting results can be used to hold timely understanding of the flow of people in the monitoring area when large conferences or activities are held, so that appropriate measures such as flow control and traffic control can be taken to ensure large scale The normal operation of the event captures the close-up photos of the person entering and leaving the person's face, especially the facial features, and is used by the back-end server to match the facial features with the facial features of the suspects in the database. If there is a suspected person entering or exiting the monitoring area, an alarm is issued and the security department takes the action. Related measures to avoid cases that endanger safety.
Face recognition technology application scenarios and corresponding management measures:
1) Security entrance
Establish a fixed camera at the entrance and exit to capture the face of personnel entering and exiting, confirm with the face database whether it is suspected or suspected by the public security department in the library, the abnormal situation will be reported to the monitoring center and related handheld terminals, and the entrance and exit guards will promptly dispose of it; Non-opening areas within the campus are also matched to whether or not the visitors are internal authorized personnel, otherwise they will not be released. 
2) Open entrance
Establish monitoring points at the open entrances and exits. The monitoring requirements can collect the front of the majority of inbound and outbound personnel. For each person passing through the entrances and exits, the faces of the in and out personnel are captured and compared with the face database to confirm whether it is suspected or the public security department in the library. The overnight personnel, the abnormal situation to the monitoring center and the relevant handheld terminal alarm, dispatch security personnel timely disposal.
4. Vehicle Anomaly Detection and Vehicle Identification Key Area Management:
The key areas are mainly roads or areas where pedestrians or vehicles flow on the campus and need to be monitored and managed.
1) Long stay management of vehicles in key areas
After the system detects that the vehicle has been parked in a key area for a long period of time, an alarm is issued to the relevant handheld terminal, and campus security measures are taken in a timely manner.
2) Internal vehicle management in key areas
Some key areas allow the internal vehicles of related departments to enter and park. The system identifies the license plate of the vehicles parked in the area. If the internal vehicle of the relevant department is not parked in the area, the system will send a warning to the relevant handheld terminal. The campus security can take relevant actions in time. Measures.
Key Road Management:
The key roads are the campus trunk roads. No parking is allowed on the main roads. If it is a one-way street, the vehicles are not allowed to retrograde and no vehicles from outside the campus are allowed to enter. The system analyzes the licenses of vehicles entering key roads to determine whether there is any situation of random parking, retrograde, and external vehicle entry. If so, the system will perform alarm notification for the relevant handheld terminal. Congestion on key roads should be promptly alerted.
Major event management:
For the management of major campus activities, the system can perform vehicle identification for the areas and roads that need to be controlled during the activity, as well as the tracking of key vehicles. When the vehicle is traveling in a controlled area or road, the system can watch the tracking videos of key vehicles in real time; When the irrelevant vehicle enters the control area or road, the system will also give an alarm indication to the relevant hand-held terminal.
Parking Management:
The management of each parking lot vehicle in and out of the monitoring area is identified, followed, and the position where the vehicle is parked in the parking lot is managed, the remaining parking spaces in the parking lot are calculated, and the vehicle parking management is guided.
Vehicle behavior analysis:
Vehicle behavior analysis mainly includes: single-track retrograde vehicles, speeding vehicles, abnormal road conditions, such as: crowd gathering, car accidents, etc.; for the above abnormal conditions, system-related handheld terminal alarm.
Conclusion
With the gradual deepening and wide application of intelligent video analysis technology, the focus of campus security construction has gradually evolved from the construction of security monitoring infrastructure to the development of security platform systems based on intelligent video analysis technology. It will further enhance the degree of intelligentization of campus security management, improve the accuracy of responding to the anomalous events on campus, and the response speed of disposition, so as to effectively ensure the normal order and safety management of the campus.
Chest Freezer Price,Chest Fridge Freezer,Single Door Deep Freezer,Single Door Chest Freezer
NINGBO HAILANG ELECTRIC APPLIANCE CO., LTD. , https://www.hilongappliance.com