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Monitoring video intelligent management and control method based on image recognition

An image recognition and monitoring video technology, applied in the field of video image recognition, can solve the problems of single scene, low resource utilization, slow detection speed, etc., to improve processing efficiency, reduce investment costs, and facilitate management.

Inactive Publication Date: 2020-12-15
INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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AI Technical Summary

Problems solved by technology

This method can overcome the shortcomings of low detection accuracy and slow detection speed of traditional image technology, but this method also has obvious shortcomings, that is, one camera can only be bound to one algorithm to process a single scene, and there are single scenarios and low resource utilization. The problem

Method used

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  • Monitoring video intelligent management and control method based on image recognition

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Embodiment

[0026] Such as figure 1 As shown, the image recognition-based surveillance video intelligent management and control method of the present invention is based on deep convolutional neural network (CNN) features to perform target detection, perform feature object recognition processing on real-time surveillance videos, identify feature data for different business scenarios, trigger early warning information and distribute Early warning work orders are processed by security personnel.

[0027] As a preference, the image recognition-based surveillance video intelligent control method specifically includes the following steps:

[0028] S1. The video management function module accesses the real-time video stream of the surveillance camera and stores it in the server.

[0029] The video management function module accesses the real-time monitoring video stream based on RTSP protocol, and performs real-time video presentation, camera lens stretching and historical monitoring image stor...

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Abstract

The invention discloses a monitoring video intelligent management and control method based on image recognition, and belongs to the technical field of video image recognition. According to the monitoring video intelligent management and control method based on image recognition, target detection is carried out based on deep convolutional neural network features, feature object recognition processing is carried out on a real-time monitoring video, feature data are recognized for different service scenes, early warning information is triggered, an early warning work order is distributed, and a safety guarantee person processes the early warning work order. According to the monitoring video intelligent management and control method based on image recognition, the occurrence rate of safety accidents can be reduced, the abnormal condition discrimination efficiency of monitoring videos is improved, the workload of security personnel is reduced, the enterprise cost is further saved, and greatpopularization and application values are achieved.

Description

technical field [0001] The invention relates to the technical field of video image recognition, and specifically provides an image recognition-based intelligent monitoring video control method. Background technique [0002] With the coverage of surveillance cameras and the accumulation of a large amount of video data, manual inspection can no longer meet the needs of extensive video surveillance. Intelligent video surveillance technology using deep learning has become a new solution for video information interpretation and utilization. Artificial intelligence and deep learning technology can effectively reduce human errors and false positives, and greatly reduce impact search time, which will have a great impact on industrial manufacturing, medical care, transportation and other industries. [0003] At present, the industry generally uses deep convolutional neural network (CNN) features to detect objects in video frames in surveillance videos. The specific method is: set the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18H04N21/643
CPCH04N7/18H04N21/643
Inventor 吴海涛许丙健陆壮张孟坚李知澳
Owner INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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