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In order to realize the intelligent position recognition and self-help positioning of digital X-ray machine examination, the self-developed position recognition device based on stacked hourglass network, position judgment device applying action correlation model and "self-service examination" device of digital X-ray machine with voice prompt function are adopted to solve the problems of low position accuracy of image photography, the number of technicians in the imaging department is insufficient, and the traditional photography takes a long time. The results of many experiments show that the system reduces the original photography time of nearly 6 minutes to about one-third and a half, increases the production rate of class a films from less than 40% to nearly 80%, and then reduces the misdiagnosis rate by 30%. At the same time, it can effectively reduce the contact between technician and patients and reduce the risk of nosocomial infection. The system can shorten the photography time, improve the photography quality and achieve the goal of reducing nosocomial infection.