Recently, a circuit board detection technology based on AI image recognition has attracted industry attention. Traditional circuit board inspection relies on manual visual inspection or basic automation equipment, which is inefficient and prone to missed detections. The new technology utilizes AI algorithms to analyze circuit board images, which can quickly identify various defects such as short circuits, open circuits, and missing components. The detection accuracy can reach the micrometer level, greatly improving detection efficiency and accuracy, providing strong support for quality control in circuit board production, and is expected to be widely applied in the field of electronic manufacturing.
