Abstract: A method for training a surface defect detection model as well as a method and a system for detecting a surface defect are provided. The method and the system for detecting a surface defect adopt the trained surface defect detection model. The method for training a surface defect detection model includes acquiring a normal image of a product and an external image that is irrelevant to the product and inputting the normal image and the external image into a deep neural network-based surface defect detection model, and training the deep neural network-based surface defect detection model to obtain the trained surface defect detection model. The normal image represents the product surface of no defect on this surface.

Abstract: A method for segmenting and denoising a triangle mesh, the method comprising: reading triangle mesh data containing N triangular patches, determining the noise level of the triangle mesh data, and optimizing data at a noise level higher than a preset value; segmenting the triangle mesh data by using a region growing segmentation algorithm, such that a plurality of sub-regions of the triangle mesh data are formed; optimizing the segmented triangle mesh data by using a hole-filling algorithm; and filtering the segmented triangle mesh data by using a denoising algorithm.

Abstract: The present invention relates to the technical field of a light source detection apparatus, in particular to a controller for automatically detecting the maximum operating current of a light source and detection method thereof. The controller comprises a master control module, a constant current output module and a load detection module. The control signal output end of the master control module is electrically connected to the control signal input end of the constant current output module; the constant current output module, according to the control signal of the master control module, outputs a corresponding constant current; the signal output end of the load detection module is electrically connected to the signal input end of the master control module, while the current output end of the constant current output module is electrically connected to the detection input end of the load detection module.