The present disclosure is a human body physiological parameter monitoring method based on face recognition for a workstation, and the method is based on a human physiological parameter monitoring system. The human physiological parameter monitoring system has a backstage server, at least one image acquisition device arranged in the workstation； the image acquisition device is communicatively connected with the backstage server and the method has the following steps:(1) continuous image sampling is carried out by the image acquisition device, and uploaded to the backstage server； when an image acquisition device detects the presence of a person, it proceeds to step (2)； (2) the backstage server compares the person detected in step (1) with a pre-stored registered person sample on the backstage server through a face recognition algorithm. The method disclosed has the advantage of greatly improved detection efficiency and accuracy.
