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Library reservation system using face detection
Nik Ruslawati Nik Mustapa1, Nur Athikah Fatehah Rosli2.
Today, Covid-19 has completely changed our way of life. The new generation has made people stay at
home, instead of going on vacation. The users are not allowed in a close place, especially in a building or
room. The library that used to be packed with people reading books, studying, and using the computer is
now becoming empty. The room in the library has been limited only to a certain number of people to prevent
any dangerous situation regarding the Covid-19 virus from spreading. The room needs to be reserved
beforehand for the user to use. This situation has become a problem for users as the user’s desired room
may be occupied by other users. Thus, the Reservation System using face recognition for the library was
developed to overcome this situation. In this paper, the researcher will use the Haar Cascade Algorithm to
scan the face and MySQL as a database to detect the room and time slot for a reservation. Python language
and Visual Studio Code were used to develop the system. The limitation of this project is that the face
registration took a long time for some users because of the lightning that makes it the system to recognize
the face. The recommendations for future work are to use a high technology camera to scan the face and
construct an admin page because the system does not have an admin page.
Affiliation:
- Universiti Teknologi MARA Cawangan Perak, Kampus Tapah, 35400 Tapah Road, Perak Darul Ridzuan, Malaysia, Malaysia
- Universiti Teknologi MARA Cawangan Perak, Kampus Tapah, 35400 Tapah Road, Perak Darul Ridzuan, Malaysia, Malaysia
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