Robot for patrolling

Abstract

The invention provides a robot for patrolling. The robot comprises a base, a mobile mechanism, a supporting mechanism and a monitoring mechanism, the mobile mechanism is arranged on the base and used for make the robot walk on a patrolling area, the supporting mechanism is arranged on the base and used for placement of the monitoring mechanism, the monitoring mechanism is arranged above the supporting platform and used for make the robot acquire the monitoring condition of the patrolling area; the monitoring mechanism comprises an image collection module, an image conversion module, an image processing module, an image outputting module and an image evaluation module, the image collection module is used for acquiring a patrolling image, the image conversion module is used for converting the acquired image to an HSV color space, the image processing module is used for optimizing the image in the HSV color space, the image outputting module is used for converting the optimized image to an RGB color space and outputting the image, and the image evaluation module is used for evaluating the output image. The robot for patrolling has the advantage that robot patrolling is achieved.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to a robot for patrolling. Background technique [0002] In industries such as petroleum, chemical industry, coal, electric power, metallurgy, and coking, it is necessary to patrol the factory area. The existing patrol methods are mostly hired personnel to patrol, not to mention wasting manpower and material resources, and the patrol effect is not good. [0003] In the foggy environment, due to the scattering effect of atmospheric particles in the air on the light, the foggy image collected by the outdoor vision system is seriously degraded, and the contrast is reduced, the color is distorted, and the details are lost. Taking video surveillance as an example, due to the dense fog, the visibility of the monitoring site is greatly reduced, and the video information obtained through the visual system is often not accurate enough, which brings great inconvenience to the monitoring work. ...

AI Technical Summary

Problems solved by technology

[0002] In the petroleum, chemical, coal, electric power, metallurgy, coking and other industries, it is necessary to patrol the factory area. The existing patrol methods are mostly hired personnel to patrol, which wastes manpower and material resources, and the patrol effect is not good.

[0003] In the foggy environment, due to the scattering effect of the atmospheric particles in the air on the light, the foggy image collected by the outdoor vision system is seriously degraded, and the contrast is reduced, the color is distorted, and the details are lost.

Taking video surveillance as an example, due to the dense fog, the visibility of the monitoring site is greatly reduced, and the video information obtained through the visual system is often not accurate enough, which brings great inconvenience to the monitoring work

In order to solve the problem of image quality degradation in foggy weather, it is necessary to study the image enhancement technology in foggy weather

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