I. Introduction

In today’s society, with the rapid development of science and technology, security monitoring system has become an important means of maintaining social security and protecting people’s lives and properties. However, the effectiveness of traditional security monitoring systems is often greatly limited when facing complex and changing environments and tasks. Therefore, the introduction of intelligent analytics technology to enhance the brand-new prospects of security monitoring has become a research hotspot in the industry. In this paper, we will discuss how intelligent analytics can enhance the new prospect of security monitoring.

II. Overview of Intelligent Analysis Technology

Intelligent analysis technology is a new type of security monitoring solution based on advanced technologies such as artificial intelligence, big data and cloud computing. It learns and analyzes video, image, sound and other data in depth by simulating human visual, auditory, cognitive and other abilities, so as to realize automatic identification, tracking and early warning of targets. The way of using intelligent analysis technology in security monitoring mainly includes face recognition, behavioral recognition, intelligent alarm and so on.

III. Intelligent Analysis Technology to Enhance Security Monitoring Performance

A. Face Recognition Technology

1. Real-time Face Detection and Recognition: Intelligent analysis technology can detect faces in the camera screen in real time and compare them with the pre-recorded face database, thus realizing the identification of personnel. 2.
2. Face comparison and search: by comparing and searching faces in multiple images, we can quickly locate the target person, which greatly improves the efficiency of security monitoring.
3. High-precision face feature extraction: Intelligent analysis technology can extract the feature information of the face (e.g. position and shape of the eyes, nose, mouth, etc.), and compare it with the matching algorithm so as to improve the accuracy of face recognition.

B. Behavior identification and analysis

1. Abnormal behavior recognition: By analyzing the walking trajectory and movement pattern of the personnel in the video, we can identify the abnormal behavior of the personnel, such as sudden acceleration, deceleration, stopping, etc., so as to find out the potential security risks in advance.
2. Movement track analysis: By analyzing the movement track of personnel, we can understand the activity range and activity pattern of personnel, which helps to formulate a reasonable security strategy.
3. Object Loss Detection: By analyzing the movement trajectory and position change of objects in the video, it can realize automatic detection and alarm of object loss events.

C. Intelligent Alarm System

1. Intelligent alarm based on image and video: when the system detects the target person or abnormal behavior, it will automatically trigger the alarm and notify the relevant information (e.g. time, location, personnel characteristics, etc.) to the relevant personnel in time.
2. Automatic triggering and feedback of multiple types of alarms: the intelligent alarm system can automatically trigger and feedback according to different alarm types (e.g. intrusion alarm, fire alarm, etc.), which improves the timeliness and accuracy of the alarm.
3. Intelligent Alarm Linkage and Early Warning Mechanism: Intelligent alarm system can be linked with other systems (e.g. fire system, police system, etc.) to realize information sharing and collaborative processing, which improves the speed and effect of emergency response.

IV. Advantages and Challenges of Intelligent Analysis Technology

A. Improving the accuracy and efficiency of security monitoring: Intelligent analysis technology can realize automatic identification and tracking of targets, greatly improving the accuracy and efficiency of security monitoring.
B. Strengthening security early warning and event response capability: Intelligent analytics can monitor various anomalies in real time and discover potential security risks in advance, which helps strengthen security early warning and event response capability.
C. Data Privacy Protection and Compliance Consideration: In the process of applying intelligent analytics, data privacy protection and compliance issues need to be fully considered to prevent data leakage and misuse.
D. Challenges to technology development and application promotion: Intelligent analytics technology involves knowledge from multiple fields (e.g., artificial intelligence, big data, cloud computing, etc.), and there are certain challenges to technology development and application promotion.

V. Conclusion

This paper discusses how intelligent analysis technology can enhance the brand new prospect of security monitoring. By introducing technologies such as face recognition, behavioral recognition, and intelligent alarms, the accuracy and efficiency of security monitoring can be effectively improved, and security warning and event response capabilities can be strengthened. However, in the process of practical application, it is also necessary to fully consider the issues of data privacy protection and compliance, as well as the challenges facing technology development and application promotion. Therefore, it is our common responsibility and mission to further promote the R&D and application of intelligent analytics to enhance security and social stability.