Design of a Check in System for University Sports Meet Based on Machine Vision
To solve the tedious and inefficient traditional manual check-in method for university sports events,this paper designs a machine vision based check-in system.The system captures athletes'facial images through the K210 camera,preprocesses them,and uses the YOLOv2 model to accurately recognize and locate faces.The recognition information is quickly compared with facial features in the database to confirm identity.The results indicate that the system has high recognition accuracy,which not only simplifies the check-in process and improves the convenience of organizational management,but also provides an efficient new method for check-in at university sports events.
NETL
NSTL
万方数据
