基于视觉识别的桶装方便面料包缺包自动检测及自动补包系统设计

Design of Bucket-Packaged Instant Noodles Seasoning Packet Missing Automatic Detection and Repairing System Based on Visual Recognition

本研究针对桶装方便面料包投放过程中的缺包问题,提出了一种自动化检测方法以及自动补包系统。通过图像采集和处理技术,在生产线上自动获取桶装方便面图像,并利用定位算法确定检测区域。采用图像增强和颜色通道处理以凸显料包特征,最终通过二值化分割或像素梯度检测实现缺包的准确分类识别,自动补包系统配合检测机构的信息完成面桶内缺失料包的补加工作,料包的检测、补包能够自动化进行。该方法有效降低了人力成本,提升了检测效率与稳定性,为桶装方便面生产质量控制提供了可靠的技术支持。

This study proposes an automatic detection method and automatic bag-supplementing system to address the issue of missing seasoning packets during the distribution process for bucket-packaged instant noodles.By utilizing image acquisition and processing technology,images of the noodle buckets are automatically captured on the production line,and a localization algorithm is used to determine the inspection area.Image enhancement and color channel processing are employed to highlight the characteristics of the packets,ultimately achieving accurate classification and identification of missing packets through binarization segmentation or pixel gradient detection.The automatic bag-supplementing system,in conjunction with the information from the detection mechanism,completes the replenishment of missing packets in the noodle buckets.The detection and supplementing of packets can be automated.This method effectively reduces labor costs,improves detection efficiency and stability,and provides reliable technical support for quality control in the production of bucket-packaged instant noodles.