基于机器视觉的太阳电池片计数研究

RESEARCH OF SOLAR CELLS COUNTING BASED ON MACHINE VISION

针对太阳电池片生产过程中电池片计数的效率低、误差大等问题,提出基于机器视觉的太阳电池片的自动计数系统。该系统基于机器视觉理论和数字图像处理技术,采用LED平行光源,对实时采集的微米级厚度的电池片的图像进行数据的提取、截取、滤波等一系列预处理,实现太阳电池片的关键区域的选择,降低噪声对计数的影响,并取得理想的实验结果。

According to the low efficiency and big errors of solar cells counting in solar ceils production process, we put forward the automatic counting system for solar cells based on machine vision. This system to counting cells is based on machine vision theory and image processing algorithm and we adopted infrared led as parallel illumination source, to proceed a series of pretreatment of the image data which is extraction, gradation, interception and so on and the projection process of the real-time acquisition of the image of solar cells with micron thickness. Then realize the selection of the key area of solar cells and reduce the influence of noise on counting, and the system had been achieved ideal experimental effects.