Mobile phone label online detection system based on machine vision

摘要

Each mobile phone has its own information, such as the manufacturer, model, IMEI code, S/N code, network access permission, etc., which are implanted in the mobile phone at the factory or pasted on the mobile phone shell, generally The position of the back cover. This article studies whether the information is accurately pasted to the designated location before leaving the factory, and whether the pasting quality meets the requirements. The research is based on machine vision technology, and the system hardware design mainly includes industrial computer, PLC control system, mobile phone transmission platform, and vision acquisition system. The software design of the detection and recognition system is based on the C++ programming language and the Halcon vision library. It uses median filtering and Gaussian pyramid algorithm to filter to eliminate the effects of electronic noise, camera shake and temperature rise; use Hough transform, 8-neighbor tracking algorithm and least square Multiplication for rectangular area detection and recognition; use of gray scale transformation and binarization to complete character segmentation and recognition