Asphalt concrete detection system and method based on fog generative adversarial neural network
A technology of asphalt concrete and neural network, applied in biological neural network model, neural learning method, neural architecture, etc., can solve the problems of health threats to workers, high carcinogenicity of asphalt smoke, low detection efficiency, etc., and achieve good real-time performance , high degree of automation, and the effect of reducing economic losses
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[0042] The present invention will be further clarified below in conjunction with the specific embodiments. The embodiments are implemented on the premise of the technical solutions of the present invention. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention.
[0043] The asphalt concrete detection system and method based on fog generation confrontation neural network of the present invention is the application of machine vision and neural network technology in defect detection, especially in online detection and classification of asphalt concrete appearance. like figure 1 and 3 As shown in the figure, the asphalt concrete detection system based on the fog generation confrontation neural network includes: a computer system 1, an image acquisition device 2, a control system 3 and a sliding rail transmission device 4. The image acquisition device 2 is set on the sliding rail transmis...
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