The invention relates to the technical field of automatic detection, in particular to a multi-
station PCBA (
printed circuit board assembly) detection method based on
machine vision, which comprises the following steps: acquiring a multi-
station reference
pulse period, dividing a time window, comparing starting
time difference, controlling
image acquisition to synchronize, locally imaging a PCBA based on a
synchronizing signal, extracting
temperature response of a
welding spot, and constructing a heat conduction path. Mapping to a visible light image, evaluating
welding spot symmetry, extracting
welding spot
hue change, marking abnormal frames, recording defect path nodes, and generating a defect path structure. According to the method, the
temperature response coordinate points in the welding spot area are extracted and the heat conduction
direction vector path is constructed, so that the welding quality is evaluated more carefully and accurately, the thermal grid chart is mapped to the visible light
image frame, the
image analysis process is further optimized, the defect detection accuracy is enhanced, and the potential defect area is effectively identified; the efficiency and reliability of PCBA board detection are significantly improved, and powerful
technical support is provided for high-quality production.