Privacy processing method for medical operation teaching system

Abstract

The invention discloses a privacy processing method used in a medical operation teaching system. The privacy processing device used in the medical operation teaching system includes a decoding module, a face recognition module, a coding module and an encoding module. The decoding module decodes the video stream into frame data in the format of YUV, RGB, etc. and sends it to the face recognition module; the face recognition module recognizes the identity of each frame of image after querying the face feature library and the occluder feature library Face information, and track and record relevant face information data in real time, and then send it to the blur processing module to perform mosaic blur processing on the face data in the video frame; the processed video frame is sent to the encoding module, and the processed video is processed by the encoding module The frames are encoded and restored to video streams in RTSP, RTMP and other formats, and then output to the corresponding display terminals.

Description

technical field [0001] The invention relates to the field of medical education, in particular to a privacy processing method used in a medical operation teaching system. Background technique [0002] As an important task of many hospitals, clinical teaching is responsible for training medical staff, and the training method is usually on-site observation. Among them, surgical teaching is limited by on-site conditions and hygienic requirements. Not only are the participants of on-site surgical observation restricted, but also the rate of surgical infection is increased. The effect of on-site observation and teaching is not ideal. [0003] With the rapid development of video communication technology, it has brought new opportunities for hospitals to realize remote visual teaching. Many large and medium-sized hospitals urgently need to use this to build a high-quality hospital clinical network teaching system, and the surgical teaching system was born from this. Through the sur...

AI Technical Summary

Problems solved by technology

Since the patient is lying on the operating table during the operation, the patient will basically wear a mask or an oxygen mask on the face, which greatly increases the difficulty of face recognition and cannot be effectively recognized, which leads to the failure of face processing and brings troubles to the patient.

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