This prominent university library aimed to digitize its extensive collection to enhance accessibility and preservation.
Manual processes for borrowing books & managing access to library services were slow, error-prone, and lacked security.
Implemented a unified facial recognition system for seamless, secure, and contactless access to all library services.
We collaborated closely with the library’s administrative and IT teams to assess pain points in their existing manual borrowing and access management systems.
The focus was on streamlining book checkouts and enabling secure, contactless access to lockers, discussion rooms, and the library entrance.
We installed high-definition facial recognition cameras at key access points—borrowing stations, student lockers, study rooms, and turnstile gates.
These were integrated with the library’s central system and tied to user IDs, ensuring seamless real-time identity verification without physical cards.
With facial authentication, users can now:
- Instantly borrow books without staff intervention.
- Unlock their assigned lockers or reserve study rooms.
- Walk through turnstile gates without pausing for ID scans.
Access permissions are automatically managed by user type (student, faculty, visitor), and the system restricts access to unauthorized users or expired accounts.
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