Video monitoring system and method for smart community

Abstract

The invention relates to a video monitoring system and method for a smart community, and the system comprises a plurality of video monitoring terminals, a plurality of video collection auxiliary lightsources, a field data processing terminal, a data communication network, and a monitoring platform based on big data. One video monitoring terminal and at least one video acquisition auxiliary lightsource form a working group, the on-site data processing terminals among the working groups are electrically connected, and the on-site data processing terminals establish data link with the monitoring platform based on big data through a data communication network and are electrically connected with an external power supply circuit. The use method comprises three steps of system networking, monitoring operation and data analysis. According to the invention, efficient identification of the target object can be accurately realized, and the behavior state of the target object can be pre-judged and analyzed.

Description

technical field [0001] The invention relates to a video monitoring system and method for a smart community, belonging to the technical field of video signal processing and data communication. Background technique [0002] The video surveillance system is an important equipment in the daily management and security management of the current community, and it is used in a huge amount. However, in actual work, it is found that the video surveillance systems used in the current community are often based on traditional camera equipment to monitor specific areas. To meet the needs of use, although it can meet the needs of use to a certain extent, on the one hand, the camera equipment in monitoring is easily disturbed by natural environmental factors, which greatly affects the quality of the detected video signal, and it is difficult to effectively meet the needs of actual use; On the one hand, the traditional video surveillance system often lacks the ability to distinguish and iden...

AI Technical Summary

Problems solved by technology

[0002] The video surveillance system is an important equipment in the daily management and security management of the current community, and it is used in a huge amount. However, in actual work, it is found that the video surveillance systems used in the current community are often based on traditional camera equipment to monitor specific areas. To meet the needs of use, although it can meet the needs of use to a certain extent, on the one hand, the camera equipment in monitoring is easily disturbed by natural environmental factors, which greatly affects the quality of the detected video signal, and it is difficult to effectively meet the needs of actual use; On the one hand, the traditional video surveillance system often lacks the ability to distinguish and identify the target, or the ability to distinguish and identify is relatively poor. At the same time, it is also unable to analyze, record and evaluate the behavior and habits of the specific target, so that it cannot detect abnormal situations in the community. Timely discovery and emergency management are difficult to effectively meet the needs of actual use

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