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The scenario: a university group runs 8 campuses with 42,000 students and faces rising security concerns, unreliable attendance records and pressure from parents and regulators to show strong student safety. Security relies on guard posts and CCTV reviewed only after incidents. Attendance is taken by hand, exam impersonation recurs every semester, and hostel entry at night depends on a warden's logbook.
The solution is designed to bring more than 2,400 cameras across all 8 campuses onto Visylix, covering classrooms, exam halls, hostels, perimeters, parking and common areas. At exam halls, Visylix will check every entrant against the registered candidate list and raise any mismatch for the controller to confirm. At classrooms and hostels, face recognition will produce timestamped entry and exit events, sent through the REST APIs to the group's student information system for attendance and curfew tracking. Security teams will get one console for intrusions, after-hours access and crowding.
The campuses are spread across three cities, each with its own infrastructure and security needs. Despite boundary walls, guard posts and basic CCTV, incidents are rising: unauthorised visitors, hostel theft and after-hours trespassing.
Attendance is the second problem. Faculty spend around eight minutes a lecture on roll calls, proxy attendance is common, and disputes consume hours every semester. Exam impersonation, where someone else sits a paper for a registered candidate, gets past a card check at the door.
Aptibit will work with administrators, faculty and security heads at all 8 campuses to fit each institution's needs within one platform. More than 2,400 cameras will be connected or installed, with new cameras concentrated on exam halls, hostel entrances, classrooms and weak perimeter sections.
Face recognition at classroom entrances will match students against the enrolled list and send a timestamped entry event through the REST APIs to the student information system, which marks attendance. Enrolment includes a liveness check, and consent and erasure tools are built in.
At exam halls, every entrant will be checked against the candidate list for that paper, and any mismatch will be raised for the examination controller to confirm. Intrusion zones will flag anyone entering a hall after the exam has started.
Face recognition at hostel entrances will replace the logbook with timestamped entry and exit events. Wardens will be alerted when a student has not returned by curfew, and an unknown person at a hostel entrance will be raised for security to confirm. Tailgating detection will catch anyone slipping in behind a resident.
Perimeter cameras will run intrusion and line-crossing zones at night. Each camera learns its own normal scene, so routine movement is set apart from real intrusion attempts. On an alert, rules can speak a warning through the camera speaker, fire a siren relay and show the location on a floor-plan or campus map.
Campus directors and the central administration will see every campus in one console, and Radha, the on-premise AI copilot, will produce shift briefings and incident summaries on request.
The solution is designed to replace manual roll calls with automatic entry events, freeing on the order of 1,200 faculty hours a month, to reach zero exam impersonation cases, and to halve campus security incidents in the first year.
The same design applies to any multi-campus group, with natural next phases such as library usage and sports facility monitoring.
Our solution architects will design a deployment tailored to your industry, scale and integration requirements. Let us scope this blueprint to your estate.