De Castro, Ceejay B. <br/><br/>
Face Recognition Attendance System for Students of Electronics Department in College of Industrial Technology of Technological University of the Philippines 
Ceejay B. De Castro, Nick Jade B. Pacun, Russel D. Pagatpatan, Erwin Sabas and Joshua Daniel D. Villarosa.-- 
 - Manila:  Technological University of the Philippines  2023 
 - xiii 125pages  29cm. 
<br/><br/> Bachelor's thesis 
<br/><br/>College of Industrial Technology.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Attendance recording is a regular task for students attending universities and<br/>colleges. Most college classes make use of written attendance methods for the students’<br/>and professors’ record. The method of manually monitoring attendance possesses various<br/>drawbacks, such as being time-consuming, prone to errors, and susceptible to loss of copy.<br/>This study aims to develop an alternative attendance method that utilizes Artificial<br/>Intelligence and face recognition technology. The researchers were able to design and<br/>develop a user-friendly user interface for students, professors, and administrators that will<br/>use the system. And a system prototype that is built for user interaction such as web camera<br/>and a touch-screen monitor. By conducting the test procedure among the students of ESET<br/>department of Technological University of the Philippines, the researchers were able to<br/>identify the system’s face recognition accuracy, with a total computed accuracy of 77%<br/>and an equivalent descriptive interpretation of “Very Good” based on Likert Scale<br/>Interpretation. On the other hand, the evaluation result shows that the system is considered<br/>functional, performance efficient, user-friendly, and secured as it yielded a total average<br/>score of 4.75 or 95%, interpreted as “Excellent”. 
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<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / D43 2023