A concrete surface defect image recognition system and method based on artificial intelligence

Abstract

The invention belongs to the technical field of construction industry, and discloses a concrete surface defect image recognition system and method based on artificial intelligence. The concrete surface defect image recognition system based on artificial intelligence comprises an intelligent construction site management and control platform, an image acquisition device, concrete surface defect image recognition, a printer and a loudspeaker. The image acquisition device comprises a camera device, an image receiving device, an image data cache (SDRAM), a DSP chip, a receiving / transmitting moduleand a display terminal. On the basis of artificial intelligence concrete surface defect identification under the intelligent construction site management and control platform, the requirement for theprofessional level of detection and evaluation personnel is not high, and cost operation is not high; a large amount of data obtained through image recognition can be effectively utilized and protected, and a model image database is established; human factors can be ignored, concrete defects can be continuously identified on any construction site, the identification accuracy is high, system maintenance is simple, and the maintenance cost is low.

Description

Technical field [0001] The invention belongs to the technical field of the construction industry, and particularly relates to an artificial intelligence-based concrete surface defect image recognition system and method. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: [0003] The traditional recognition of concrete surface defects mainly relies on the naked eye of the engineering personnel, and requires higher requirements for the engineering personnel. Although artificial recognition of concrete surface defects can achieve relatively high accuracy, it requires basic professional level and long-term work experience, and the required work cost is high to be able to accurately identify them. In the process of manually identifying concrete surface defects, engineers cannot continuously detect the concrete surface defects for a long time and the accuracy of the engineers will further decrease as time progresses. [0004] Th...

AI Technical Summary

Problems solved by technology

[0016] Aiming at the problems existing in the prior art, the present invention provides a concrete surface defect image recognition system and method based on artificial intelligence

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