Image-based intelligent attendance logging system
Hary Oktavianto, Gee-Sern Jison Hsu, Sheng‐Luen Chung · 2012
This paper proposes an extension of the surveillance camera's function as an intelligent attendance logging system. The system works as a time recorder within two phases; learning phase and monitoring phase. By placing a camera inside a working room, the sytem enters the learning phase by locating the sitting area automatically based on the camera's images. The learning phase has a defined time duration to complete a working map. Next, the system switches to the monitoring phase to report each occupant's working hour corresponding to their sitting area in the working map. The system detects the entering occupant, the leaving occupant, the sitting occupant, and the standing occupant from their seat. The system also tracks the occupants. The working hours of the occupant will be counted as how long they sit in their desk. When the occupant sits at his/her seat, a start time is given. Later, after he/she leaves from their seat, a stop time is generated. The experimental setup has been done in our laboratory. The result shows that the system can achieve a good result.