Printing quality detection method and system for solar cell piece

Abstract

The invention relates to a printing quality detection method for a solar cell piece. The printing quality detection method comprises the steps that photos with a resolution of micron grade are taken on the front and back sides of the silk-screen printed solar cell piece, the photographed photos are processed, and whether the solar cell piece has printing quality problems or not is judged based onan edge detection result; when the printing quality problems occur, an alarm is given or corresponding feedback signals are fed back to a silk screen printer; and when the silk screen printer receivesthe feedback signals, closed-loop control is carried out according to the feedback signals, so that the printer is shut down or silk screen printing parameters are adjusted. A printing quality detection system for the solar cell piece for implementing the printing quality detection method includes a camera, a processor and an alarm device, wherein the camera, the processor and the alarm device are connected in sequence, and the processor is further connected to a control system of the silk screen printer. The printing quality detection method and system for the solar cell piece can detect thesilk screen printing quality of a solar panel accurately and can make a clear judgment, can further form the closed-loop control with the silk screen printer, and can regulate the printing process inreal time to improve the printing quality.

Description

technical field [0001] The invention belongs to the technical field of machine vision automation, and in particular relates to a printing quality detection method and device used in the solar cell screen printing industry. Background technique [0002] Traditional screen printing machines are usually equipped with a 2-megapixel low-resolution camera at the output position. After the silicon wafer is screen-printed, take a picture of it with the camera, and simply check whether the silicon wafer has obvious defects such as missing corners, slurry leakage, and plate explosion. On the one hand, this detection method cannot make a judgment on the subtle printing defects generated during the printing process. For example, for grid lines with a width of less than 50 microns, the printing accuracy is high, and the printing defects cannot be judged; on the other hand On the one hand, the existing detection method can only produce a bad judgment result, but it cannot adjust the scre...

AI Technical Summary

Problems solved by technology

On the one hand, this detection method cannot make a judgment on the subtle printing defects generated during the printing process. For example, for grid lines with a width of less than 50 microns, the printing accuracy is high, and the printing defects cannot be judged; on the other hand On the one hand, the existing detection method can only produce a bad judgment result, but it cannot adjust the screen printing machine in time according to the bad occurrence to avoid the bad again.

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