Inspection robot image processing system and method with self-adaptive polarizer adjusting function

Abstract

The invention discloses an inspection robot image processing system and method with a self-adaptive polarizer adjusting function. The inspection robot image processing system comprises an inspection robot body, an image acquisition mechanism, a polarizer and an automatic polarizer rotating and driving device, wherein the image acquisition mechanism is arranged at the front end of the inspection robot body and is used for acquiring video and image data in a transformer substation, the polarizer is arranged at the front end of the image acquisition mechanism, and the polarizer is fixed on the automatic polarizer rotating and driving device, so that an optical axis of a camera vertically passes through the center of the polarizer, and the polarizer rotates by taking the optical axis of the visible light camera as the center axis. The inspection robot image processing system and method have the advantages that the problem that a certain instrument index is mistakenly identified due to glare, light reflection and shadow interference is solved, so that an inspection robot can observe operating status details of electrical equipment, the aim that all the equipment of the substation are covered and observed by the inspection robot is realized, and safe operation of all the equipment of the substation is guaranteed.

Description

technical field [0001] The invention relates to an image processing system and method of an inspection robot with self-adaptive polarizer adjustment. Background technique [0002] Substation equipment inspection robot is an outdoor all-weather mobile platform based on autonomous navigation, precise positioning, and automatic charging, integrating visible light, infrared, sound and other sensors; based on magnetic trajectory and specially arranged RFID tags on the road surface, the optimal path planning of the inspection robot is realized and two-way walking, and transmit the video and image data of the inspected equipment to the monitoring room through the wireless network; the patrol inspection background system uses image processing and pattern recognition technologies of the inspected equipment, combined with the equipment image template library, to realize the detection of equipment defects, classification Discrimination of the closing state and appearance abnormality, a...

AI Technical Summary

Problems solved by technology

[0008] (4) Too bright sky: When the robot collects images of equipment status, it is mostly in the state of "looking up". At this time, the bright blue sky of the collected images occupies most of the background proportion, and the photosensitive device of the camera is automatically controlled. The background is bright, and the camera automatically reduces the exposure to balance the light and dark areas in the image when capturing the image. This makes the equipment area that the robot needs to observe too dark and cannot identify detailed information.

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