Talk · International Conference on Communication, Control and Information Sciences · June 16, 2021
An Automated University Gate Pass Monitoring System Using Deep Learning
Patel Meghavi Kiritbhai, C. Jyotsna
Abstract
Surveillance cameras are necessary to find and track a person in the technology world for various security purposes. The work aims to design an auto gate pass system using face recognition technology based on real-time video processing. Various photographs of the student at different environmental conditions have been collected and stored in the database. While exiting from the campus students need to show their face in front of the camera and the proposed system recognizes the student by comparing the details stored in the database. After recognizing a student, the next step is to fetch the student's record from the database and make the entry of a person into e-register. Meanwhile, the automated system will send a notification to the respective student. To track the whole action, the system provides a graphical user interface (GUI), which helps to monitor all activities more easily.
More by Jyotsna Chandrasekharan
- Optimization of Lotka-Volterra Equations using Ant Colony OptimizationInternational Conference on Recent Advancement in Electrical, Computer and Communication Technologies · 2026
- Comparative Analysis of Deep Learning Models for Visual Classification of Terrestrial and Extraterrestrial Rock ImageIEEE International Conference on AI Engineering and Innovations · 2026 · Citations: 1
- Real Time Screen Based Gaze Estimation Using MediaPipe and Machine Learning ModelsIEEE International Conference on AI Engineering and Innovations · 2026
- ECG Analysis for Myocardial Infarction Detection via Deep LearningProcedia Computer Science · 2026