Library Reservation System Using Face detection
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2022-03-01
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| Series: | Journal of Computing Research and Innovation |
| Subjects: | |
| Online Access: | https://crinn.conferencehunter.com/index.php/jcrinn/article/view/275 |
| _version_ | 1797834462767087616 |
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| author | Nik Ruslawati Nik Mustapa Nur Athikah Fatehah Rosli |
| author_facet | Nik Ruslawati Nik Mustapa Nur Athikah Fatehah Rosli |
| author_sort | Nik Ruslawati Nik Mustapa |
| collection | DOAJ |
| description |
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 to spread. 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, 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. Phyton 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 hard 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.
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| first_indexed | 2024-04-09T14:38:18Z |
| format | Article |
| id | doaj.art-b8027e0fe73547b591ea2f6f19e1e0d1 |
| institution | Directory Open Access Journal |
| issn | 2600-8793 |
| language | English |
| last_indexed | 2024-04-09T14:38:18Z |
| publishDate | 2022-03-01 |
| publisher | Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis |
| record_format | Article |
| series | Journal of Computing Research and Innovation |
| spelling | doaj.art-b8027e0fe73547b591ea2f6f19e1e0d12023-05-03T10:36:44ZengFaculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerlisJournal of Computing Research and Innovation2600-87932022-03-017110.24191/jcrinn.v7i1.275275Library Reservation System Using Face detectionNik Ruslawati Nik Mustapa0Nur Athikah Fatehah Rosli1Universiti Teknologi MARA, Perak Branch, Tapah CampusUniversiti Teknologi MARA, Perak Branch, Tapah Campus 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 to spread. 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, 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. Phyton 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 hard 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. https://crinn.conferencehunter.com/index.php/jcrinn/article/view/275Haar cascade Algorithmreservation systemface recognitionlibrary |
| spellingShingle | Nik Ruslawati Nik Mustapa Nur Athikah Fatehah Rosli Library Reservation System Using Face detection Journal of Computing Research and Innovation Haar cascade Algorithm reservation system face recognition library |
| title | Library Reservation System Using Face detection |
| title_full | Library Reservation System Using Face detection |
| title_fullStr | Library Reservation System Using Face detection |
| title_full_unstemmed | Library Reservation System Using Face detection |
| title_short | Library Reservation System Using Face detection |
| title_sort | library reservation system using face detection |
| topic | Haar cascade Algorithm reservation system face recognition library |
| url | https://crinn.conferencehunter.com/index.php/jcrinn/article/view/275 |
| work_keys_str_mv | AT nikruslawatinikmustapa libraryreservationsystemusingfacedetection AT nurathikahfatehahrosli libraryreservationsystemusingfacedetection |