The invention provides an operator fatigue monitoring method and device based on
machine vision, and the method comprises the steps: carrying out the preprocessing of the obtained operation live data of an operator, and obtaining a preprocessing result; detecting and positioning the eye region by using a gradient weighted generalized
Hough transform algorithm according to the preprocessing result to obtain the eye region; according to the eye region, extracting the
eyelid closing frequency of the operator as a fatigue feature; and performing fatigue evaluation based on the fatigue characteristics, and performing early warning and / or suggestion according to an
evaluation result. According to the invention, a non-contact
machine vision technology is adopted, fatigue monitoring is carried out on an operator through operation real-
time data, the fatigue state of the operator is monitored in real time according to the operation real-
time data, especially the eye area with asthenopia is monitored, a de-
identification technology is adopted in the monitoring process, personal identity and sensitive information are protected, and the safety of the operator is improved. And meanwhile, personalized early warning and suggestions can be provided according to individual differences, and the universality is good.