000			03306nam a22003017a 4500
003			OSt
005			20250313165745.0
008			250313b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH T 58.5 _bB38 2023
100			_aBautista, Alvin P. _eauthor
245			_aDevelopment of vicinity monitoring system using face recognition technology/ _cAlvin P. Bautista, Juliues Patrick Bibay, Rommel John C. Macasukit and Claisse Neriel L. Martinez.--
260			_aTechnological University of the Philippines, Manila. _c2023
300			_ax, 107 pages. _c29cm
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Industrial Technology.-- _bBachelor of Technology major in Information Technology: _cTechnological University of the Philippines, Manila. _d2023
504			_aIncludes bibliographic references and index.
520			_aSecurity and safety must be one of the top priorities of educational institutions. It is undeniable that as student population increases, crime rate deteriorates with it — posting threat to students’ safety, as well as to faculty members and staff. Such alarming societal issue leads to the development of the vicinity monitoring system to ensure the safety and security of the students and staff. This system also aims to manage the crowding problem on the 4th floor CIT-Building Electronics Engineering Technology Department of TUP- Manila. The system uses face recognition technology to recognize and to identify the person that enters and exits the vicinity; and generates a time log when the person is identified. It is also designed to display the number of detected registered students and staff. An alarm was built into the system that will be triggered once the system detects an unregistered facial feature. A report will be generated with the number and frequency of unregistered face detected. The system uses a classifier model, to detect and recognize faces. For the project development, the researchers used Java and an IDE specified for Java Projects called NetBeans and MySQL as the database. It also uses a server-client setup wherein a 1080p full-HD Web Camera will be installed in a client laptop. This will act as the input and the sender, while the other laptop will act as the server. Based on gathered results, the user purpose and stated task are encompassed by the set of functions used in the system. Each module operated rendering to the condition desired in the system. This signifies that the system is user-friendly and can be operated from time to time. The system was evaluated by 21 evaluators composed of Information Technology professors, staffs and students of 4th floor CIT-Building Electronics Engineering Technology Department of TUP-Manila using ISO 25010 software quality model and was rated with a mean rating of 4.33 which is considered as “Very Good”, which means it’s a reliable tool for monitoring vicinities.
650			_aInformation Technology
650			_aFace Recognition Technology
700			_aBibay, Juliues Patrick _eauthor
700			_aMacasukit, Rommel John C. _eauthor
700			_aMartinez, Claisse Neriel L. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c29492 _d29492