Indoor multi-camera intelligent linkage monitoring device based on depth sensing

Abstract

The present invention belongs to an intelligent safety and guard technology, and especially relates to an indoor multi-camera intelligent linkage monitoring device based on depth sensing. The device comprises a collection module, a processing module and a communication module. The processing module comprises a switch, a server and monitoring system software. The monitoring system software completes the detection of abnormity invasion based on a depth image matching algorithm according to a three-dimensional point cloud image, performs structural abstraction of the obtained three-dimensional point cloud to complete the identification of the abnormity invasion, and finally transmits the collected video and images to a user terminal device to allow users to process abnormity invasion events. The intelligent linkage monitoring device can complete the passive monitoring for an invasion terminal to a user terminal and complete the active control from the user terminal to the invasion terminal. The indoor multi-camera intelligent linkage monitoring device based on the depth sensing is suitable for unattended operation indoor scene monitoring, has advantages of high invasion detection precision, low false alarm rate, monitoring without dead corners and can perform abnormal event early warning, etc.

Description

technical field [0001] The invention belongs to the field of intelligent security technology, and more specifically relates to an indoor multi-camera intelligent linkage monitoring device based on depth sensing. It has the advantages of low rate, no dead angle monitoring, and the ability to carry out early warning of abnormal events. Background technique [0002] With the increasing number of camera installations and the increasing demand for smart cities and public security, artificial video surveillance is far from meeting the needs. Therefore, intelligent video surveillance technology emerged as the times require and quickly became a research hotspot. Intelligent video surveillance technology is a cross-field research direction, its research content is rich, and its application fields are wide and diverse. Traditional video surveillance systems have problems such as low intrusion detection accuracy, high false alarm rate, sensitivity to changes in light intensity, and si...

AI Technical Summary

Problems solved by technology

Traditional video surveillance systems have problems such as low intrusion detection accuracy, high false alarm rate, sensitivity to changes in light intensity, and single intrusion alarm forms.

In the current security field, the intelligence of the monitoring system is not high enough

[0003] In addition, a further search found that the patent application number CN201310205130.4 designed a home intelligent monitoring and anti-theft system, which includes an intelligent monitoring system, an automatic alarm system and a network server, wherein the key technology in the system is the ability to Face recognition is performed on the incoming target to determine whether the target is a stranger or an acquaintance, but if the intrusion target blocks the face to a certain extent, the system will get a wrong recognition result, and then falsely report the intrusion event

The patent with the application number CN201410422128.7 discloses a method and system for real-time linkage monitoring of a networked video surveillance system. Set instructions, so that the active pan-tilt camera can adjust the horizontal angle and pitch angle of the camera lens in real time according to the angle adjustment instructions input by the user. However, in the actual unattended environment, the system cannot automatically track the movement of the intruding target. The intelligence of the system not enough

The patent application number CN201610014877.5 discloses an intelligent security monitoring system. The intelligent functions in the system are mainly concentrated in the local security early warning subsystem. The system uses the first identity verification unit and the second identity verification unit to utilize the The multiple palmprint information of the user and the corresponding touch pressure information are used for security identification. In essence, the whole system is only for analyzing the palmprint image and pressure data, which is a passive early warning. If the intruder copies the user's palmprint , it will be easy to pass the system

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