Design&Implementation Of USB-based Line-array CCD Industrial Camera’s Photoelectric Signal Transmission

With the continuous development of the manufacturing automation, machinevision are widely applied in the field of microelectronics, scientific research, automaticcontrol, PCB (Printed Circuit Board) production, printing, industrial site monitoring andmilitary. With the rising of labor costs in China, automation and intelligence inmanufacture are needed to reduce labor costs. The needs in domestic manufacturingindustry have brought opportunities for the development of machine vision industry. Inrecent years, China’s machine vision industry is booming, more and more machinevision products achieve localization. CCD industrial camera has high resolution, fastresponse characteristics.As the key component of the machine vision system, theindustrial camera determines the ultimate accuracy and processing speed of machinevision products. The performance of the product is directly affected by the accuracy andspeed of photoelectric signal transmission and processing.This project stems from the needs of the large format industrial design blueprint’sdigitization. In this dissertation, the photoelectric signal transmission and processingsystem used in the Three-Line-Array CCD industrial camera is designed. The USB2.0interface and FPGA technology is used in Three-Line-Array CCD industrial camera.The real-time image distortion problem in USB Bulk mode has been solved. Abreakthrough has been achieved in the domestic large format scanner field.Altera’s Cyclone IV series FPGA, Cypress’s EZ-USB FX2LP interface chip andthe SAMSUNG’s high-performance SDRAM memory K4S51000are used in thephotoelectric signal transmission and processing system hardware design in this project.The Python scripting language is used to build the image acquisition test software. Thisdissertation describes the method to design the Three-Line-Array CCD industrialcamera photoelectric signal data transmission and processing system.