Robot security inspection method based on environment map and robot thereof

Abstract

The invention discloses a robot security inspection method based on an environment map and a robot thereof. The method comprises steps that a two-dimensional plane map of a whole monitoring region is established; monitoring routes are programmed; the present location position of the robot in the monitoring region is positioned; inspection steps are moved according to the programmed routes. Through the method and the robot thereof, traversal inspection is carried out according to the environment map to avoid monitoring dead angles; unsafe factors are actively discovered, and safety strategy confirmation is further carried out; the unsafe factors are actively tracked; normal work can be carried out in the night without auxiliary illumination. The method and the robot are advantaged in that strong initiative is realized, the unsafe factors are actively prevented, and validity, timeliness and stability of unannounced inspection are substantially improved.

Description

technical field [0001] The invention relates to the technical field of security monitoring, in particular to a robot security inspection method based on an environment map and a robot thereof. Background technique [0002] Most of the current security monitoring field adopts passive video monitoring methods. Generally, cameras are installed at specific monitoring points, images of each monitoring point are displayed in a specific area, and unsafe factors are reviewed by manually checking the images captured by each camera. This method has many disadvantages: 1. It is necessary to continuously check the monitoring pictures of multiple cameras manually, which is easy to cause visual fatigue and cause unsafe factors to be missed. 2. The angle of view of the camera is relatively fixed and it is difficult to achieve large-scale movement. If a large-scale scene needs to be monitored, more cameras need to be arranged, which may easily cause dead spots in monitoring. 3. When unsafe...

AI Technical Summary

Problems solved by technology

This method has many disadvantages: 1. It is necessary to manually check the monitoring screens of multiple cameras, which may easily cause visual fatigue and cause unsafe factors to be missed.

2. The viewing angle of the camera is relatively fixed and it is not easy to achieve large-scale movement. If you need to monitor a large-scale scene, you need to arrange more cameras, which will easily cause dead ends in monitoring

3. When unsafe factors are found, the video surveillance method is not easy to actively track

4. Most of the surveillance cameras are RGB cameras that do not have night vision function, and the night monitoring ability is greatly reduced. It is often necessary to add auxiliary lighting devices, which will cause many adverse effects

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