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Hostel Access Monitoring

Grey Matterz AI Vision Platform delivers an automated, end-to-end hostel access monitoring system powered by facial recognition and machine learning.
It ensures accurate identification of residents, real-time detection of unauthorized individuals, and instant alerts to the right personnel — minimizing security risks and improving operational efficiency.

Customer Analysis
Resident Identification via Machine Learning
  • The system is trained on the database of students assigned to a specific hostel.
  • Tracks the movement of resident students within common areas and flags unauthorized individuals in real time.
Customer Analysis
Comprehensive Monitoring from Entry Point
  • High-definition AI Vision cameras installed at the hostel entrance record each student's entry time and location.
  • Facial recognition verifies whether the individual is an authorized resident or not.
Customer Analysis
Access Control with Configurable Exceptions
  • AI Vision rules can accommodate exceptions such as visiting hours, weekends, and special events.
  • Only authorized entries outside of these exceptions are permitted.
Customer Analysis
Common Area Tracking
  • Monitors student movement in lobbies, common rooms, hallways, and stairways.
Customer Analysis
Unauthorized Entry Alerts
  • If a non-resident is detected, the system instantly triggers an alert.
  • Sends the hostel warden a notification containing a video clip and an image, along with the exact time and location of detection.
Customer Analysis
Parents Notification
  • Automatically notify parents via SMS, email, and in-app alerts when their ward is absent from daily attendance.
  • Foster transparency, build trust, and boost parental engagement.
Customer Analysis
Customizable Attendance Settings
  • Customize the attendance notification alerts to fit the specific needs of any hostel.
  • Flexibly set entry-exit rules or adjust attendance reporting schedules to align with operational requirements.