Intelligent building monitoring terminal, monitoring system and monitoring method

Abstract

The invention relates to the technical field of building monitoring, in particular to an intelligent building monitoring terminal, monitoring system and monitoring method, and the method comprises thefollowing steps: obtaining a monitoring image, and obtaining a figure image from the monitoring image; identifying personnel individual behavior data from the figure picture, and identifying each piece of personnel individual behavior data by using a preset forward behavior model to obtain an identification result; if the identification failure information is obtained from the identification result, obtaining a personnel marking box from the identification failure information, and associating a suspicious score with the personnel marking box; and calculating a suspicious behavior prediction value according to the failure frequency of the identification failure information of each personnel marking box and the suspicious score, and marking the personnel marking boxes if the suspicious behavior prediction value reaches a preset suspicious threshold. The invention has the effect of reasonably predicting unknown suspicious behaviors from monitoring videos.

Description

technical field [0001] The invention relates to the technical field of building monitoring, in particular to an intelligent building monitoring terminal, a monitoring system and a monitoring method. Background technique [0002] At present, with the development of network communication technology, network communication technology has been widely used in intelligent monitoring scenarios in building construction, which has significantly improved the safety of buildings. [0003] In the existing intelligent monitoring system of buildings, video monitoring, fire monitoring and other monitoring to improve safety performance are adopted, especially in video monitoring, the monitoring pictures can be obtained from video monitoring, and the corresponding neural network can be trained by means of machine learning. A network model, using the neural network model to detect whether there is a suspicious picture from the monitoring picture. [0004] With regard to the related technologi...

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Problems solved by technology

[0004] In view of the related technologies mentioned above, the inventor believes that there is a defect that the unknown suspicious behavior cannot be effectively monitored only through

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