At present, the quality of inspection of high-speed printing presses has always not been good enough. In order to solve the problems of speed and accuracy of automatic detection of printing quality in the running state, this paper is proposed to put forward an optimization solution based on computer intelligent image processing, the core of which is the introduction of high robustness genetic algorithms to solve the problem of speed and accuracy of online detection from the aspect of improving the computer image alignment algorithm itself. Special attention is paid to printing quality problems prevalent in the printing industry and the online printing quality detection algorithm based on genetic algorithm is established to realize the combination of algorithms and practical applications, especially the combination of CCD sensors, to provide a complete set of online monitoring solutions and experimental equipment for the traditional printing to improve the quality of printing, testing efficiency and quality to reach the leading level in China, and reduce labor costs