Quality monitoring and control system based on image comparison and used by PCB processing production line

Abstract

The invention relates to a quality monitoring and control system based on image comparison and used by a PCB processing production line. A detection chamber and a sorting device are arranged on a machine frame, a conveying belt passes through a rectangular through hole formed in the lower portion of the detection chamber, and the sorting device is arranged in the mode of being close to a conveyingbelt outlet formed in the lower portion of the detection chamber. An image acquisition module, a light source module and a position sensor are arranged in the detection chamber. A controller is further arranged, and the image acquisition module, the light source module, the position sensor and the sorting device are connected with the controller through signals. The image acquisition module acquires images of PCBs to be detected. The light source module provides a light source for the PCBs to be detected. The position sensor detects the positions of the PCBs to be detected. The sorting devicesorts out the PCBs which have defects through detection. The controller receives image signals of the image acquisition module and controls the sorting device to move after the images are compared with images of standard PCBs. The quality monitoring and control system is particularly suitable for assembly line operation, the production line does not need to be stopped when monitoring is conducted, the PCBs which have defects are sorted out by the image comparison technology, and the PCB quality inspection is accurately and efficiently accomplished.

Description

technical field [0001] The invention relates to the field of image recognition and detection, in particular to a quality monitoring system for a PCB processing production line based on image comparison. Background technique [0002] Defective products such as missing parts, wrong inspections, and offsets may occur during the PCB production process. Product testing is one of the important processes in the PCB production process, which can effectively ensure the quality of PCBs leaving the factory. In order to accurately detect PCB component installation errors and defects such as missing soldering, burrs, and short circuits, traditional methods such as manual visual inspection are no longer suitable for mass production. [0003] For this reason, it is necessary to propose a high-efficiency PCB circuit board detection method suitable for assembly line operations, effectively improve the detection efficiency and accuracy through machine vision, and pick out defective PCBs to a...

AI Technical Summary

Problems solved by technology

In order to accurately detect PCB component installation errors and defects such as missing soldering, burrs, and short circuits, traditional methods such as manual visual inspection are no longer suitable for mass production.

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