Design of Hospital Equipment Information Management System Based on Computer Vision Technology

The information management of medical equipment should reflect two movement states of medical equipment, namely material movement state and value movement state, so that managers, decision makers, and users can clearly grasp the movement process of the equipment. In this paper, the hospital equipment information management system based on browser/server (B/S) is realized by using Java as the software development language and adopting the service-oriented architecture design. And the computer vision technology is used to realize the fault detection and alarm of hardware equipment in the computer room. The system has the functions of inputting, inquiring, and modifying the basic information of medical equipment. Based on computer vision technology, this paper adopts the faster region-based convolutional neural networks (R-CNN) algorithm in the two-step detection algorithm to study the infrared image detection of hospital equipment. The abnormal area of hospital equipment and the equipment detection network under infrared images based on faster R-CNN are established. The system test shows that the average response time of the system is < 4 s when < 100 people log in to the system at the same time, which shows that the system runs well and has stable performance, and can meet the requirements of simultaneous online operation of multiple people. The infrared detection method of hospital equipment based on faster R-CNN has a high detection accuracy in the detection of abnormal areas in infrared images of hospital equipment.