基于机器视觉的代维回单图片稽核研究与应用

Research and application for audit of network maintenance image based on machine vision

随着网络规模的快速增加,综合代维服务商工单数量显著上升。同时降本增效的管理要求也越来越高。传统的人工方式难以高标准进行回单图片稽核,难以发现疑似虚假的回单图片。该文应用机器视觉技术,实现回单图片清晰度、相似度和光缆盯防场景工作真实性的自动稽核。创新机器视觉在网络代维管理领域的应用。

With the rapid increase in network scale,the number of service orders for network maintenance service providers have significantly increased.At the same time,the demand of reducing costs and improving quality is also incrcasing.Traditional manual method is difficult to achieve high standards in image quality inspcction based on service orders,and it is difficult to find suspected false pictures submitted by workers.In this paper,we apply machine vision technology to realize automatic check of clarity and similarity of image from work orders,and authenticity of optical cable security protection work.We propose a new method of using machine vision in the field of network maintenance management.