The invention provides a surgical process monitoring method and
system based on
machine vision, and the method comprises the steps: firstly obtaining a surgical scene real-time
image sequence containing the dynamic images of a
surgical instrument operation region and a
biological tissue region; secondly, extracting a
surgical instrument identification result (including an instrument type and a space posture) and a
biological tissue segmentation result (including a
tissue type and a region boundary), then monitoring an instrument operation track and a
biological tissue region deformation parameter based on the results, generating a dynamic operation
state parameter, and according to a predefined surgical stage safety threshold value, determining a biological tissue region deformation parameter; multi-
modal anomaly detection is carried out on the dynamic operation state parameters, an abnormal
event type and a
risk level are determined, finally, a visual operation monitoring report is generated according to the abnormal
event type and the
risk level, the report covers abnormal area marks, risk prompt information and correction suggestions, comprehensive intelligent monitoring of the operation process is achieved, and the
operation safety and the success rate are improved in an auxiliary mode.