FaceTagrFaceTagr

    Exam & Candidate Verification

    Stop proxy candidates - with trusted, accurate face verification.

    FaceTagr verifies every candidate at entry using edge-native face recognition. Works with low-resolution ID photos, offline exam centers, and high-throughput queues.

    Face verification at exam center entry
    Matches candidate photo ID against live face
    Works with low-resolution ID photos
    Passive liveness - no cooperation needed
    Detects proxy candidates in real-time
    Offline operation at remote exam centers
    Audit trail and compliance reports
    Get a Demo

    Why proxy candidates get through

    Manual ID checks at exam centres are slow and inconsistent. Queues build at the gate, invigilators struggle to match tired faces to old or low-resolution ID photos, and impersonators count on exactly that.

    How exam-centre verification works

    Step 1

    Enroll

    Load each candidate's registered photo ahead of the exam from your registration or hall-ticket system.

    Step 2

    Verify at entry

    The candidate looks at any phone or tablet. The face is matched to the registered photo on the device, and passive liveness rejects printed photos and screen replays. No blinking, no head turns.

    Step 3

    Audit and sync

    Every decision is logged. Records queue offline and sync when the network returns. Mismatches are flagged for supervisor review.

    No capex. Any device.

    Run it on the Android or iOS phones and tablets your centres or invigilators already have. No dedicated cameras, no on-site server, no cabling. Tested across 18,000+ Android models (2GB RAM minimum). Roll out to many centres by distributing the app and managing users, devices and centres centrally.

    Data integrity you can audit

    Matching runs on the device, so verification does not depend on connectivity
    Offline queue with safe sync, so no records are lost
    Audit trail and compliance reports for every decision
    You control consent, retention and where records go

    Proven at election scale

    In the Bihar panchayat elections, FaceTagr verified 5M+ voters across 4,000+ booths in a single-day statewide rollout on mobile devices, fully offline, against decades-old, low-quality ID photographs. Exam centres face the same problem: many sites, patchy connectivity, imperfect photos, one day, no room for failure.

    See the election deployment

    Built for

    Exam boards and recruitment agencies
    Universities and certification bodies
    Exam conducting agencies and testing vendors who want to embed verification in their own app via SDK and API

    Free: Exam Centre Verification Playbook

    A practical checklist for verifying candidates across many centres.

    Get the playbook

    Exam verification FAQs

    Does it work offline?

    Yes. Face matching and passive liveness run on the device. Records queue and sync when connectivity returns.

    Does it work with low-resolution or old ID photos?

    Yes. This is a core strength, proven in the Bihar elections against decades-old voter photographs.

    What devices do we need?

    Android or iOS phones or tablets. Android needs 2GB RAM minimum. No special cameras or servers.

    Can it connect to our registration or exam system?

    Yes, through a RESTful API, and through an SDK for native, Flutter and React Native apps.

    How is this different from online proctoring?

    Online proctoring watches remote candidates through a webcam. FaceTagr verifies identity at the point of entry at physical exam centres, and the SDK can be embedded in your own candidate app. It complements online proctoring.

    Can we start with a pilot?

    Yes. Start with a single exam centre and scale from there.

    How many gate lanes does your centre need? Try the free calculator.

    Try it free

    Request an exam verification pilot

    Tell us about your exam and we will recommend a rollout path.