The invention discloses a PCB test needle point alignment method and
system based on
visual identification, and relates to the technical field of electronic
manufacturing testing, and the method comprises the steps: firstly, determining a preset path of image collection, then calibrating a
visual detection part and a conversion matrix through a calibration board, and introducing a
deep learning model; feeding conveying parameters are adjusted according to the actual size of the PCB, and whether the PCB is located in a preset detection area or not is judged after feeding;
image acquisition and
image processing are carried out according to a preset path, a PAD point is detected based on a
deep learning model, and a
machine vision
algorithm is used to find the circle center of the PAD point and the position of a test needle point; and according to the preset fault-tolerant threshold value, the alignment result of the test pin point is automatically judged, alarm and / or recording are / is controlled, and the scheme realizes intelligent and quantitative alignment quality judgment of the test pin point on the PCB bare board.