The long-distance running terminal design of avoiding swiping card for others based on skin color identification

We design a campus long-distance running terminal sports system in view of the phenomenon that college students now are with poor physical fitness and low degree of physical exercise participation. The system improves the enthusiasm of students to participate in physical exercise through the control of running speed, distance, frequency and other parameters. The terminal system realizes the function of distinguishing the action of one person swiping card for others by fast-face recognition module. The design of the system is based on the home-made embedded platform. In the system, first of all, the pictures were taken by the camera when the student is swiping card. Secondly, the OpenCV image database will identify the skin color under the space of HSV color and extract facial features in complex background color and then compare the value of owner's face color characteristic between students before and after to judge whether they had swiped card for others. Finally, the system will send the record of students' card swiping and detective results to the database backstage. Compared with fingerprint identification, the face discrimination algorithm this system designed can not only reduce the time significantly but also ensure the accuracy of data. At the same time, the effectiveness of the system is verified through a lot of data tests.