Face Recognition System Based on NCSLab for Online Experimentation in Engineering Education

As one of the virtual experimental simulation platforms, Networked Control System Laboratory (NCSLab) provides remote experimental services for college students, teachers and researchers. With the development and maturity of face recog-nition technology, this paper adds face recognition function on NCSLab to identify users, calculates the duration of remote experiment in NCSLab, and takes it as one of the indicators of user performance assessment. In order to realize the construction of face recognition in the browser side, a face recognition package named face-api.js is proposed in this paper. At the time of registration, the user submits his/her photos to the NCSLab back-end database. After logging on the NCSLab platform, the user invokes the user camera and compares the data stream collected by the camera with the photos uploaded in the database to determine whether it is the user's operation. In this paper, the function of the remote experiment platform is enriched by adding face recognition technology, which provides an assessment dimension for students' experiment achievement. And to a certain extent, the problem of other people completing the experiment rather than the user himself in the remote laboratory is reduced.