Face-verified attendance for field and site teams
Every punch-in is matched to the employee's own face and their GPS location — so there's no proxy attendance and no shared-phone workaround. Works on Android and iOS, and offline.
On-device face match · liveness check · works without network
The muster roll shows all eight workers present. The GPS shows four phones near the site. One worker had marked the other four present from his own phone before the shift started — and on paper, that day is fully staffed.
Face attendance breaks that. Each punch needs a live face match to the specific employee, tied to the site's location, so one person can't clock in four others and a shared phone can't produce attendance for someone who isn't there.
What identity-verified attendance has to do
Location tells you where. Face tells you who — and on sites, 'who' is where the leakage is.
Prove it's the actual person
A photo, a screenshot or a colleague's tap must not pass as the employee's punch.
Kill proxy and buddy punching
The most common attendance fraud is one person marking several present. That has to be structurally impossible.
Work on shared phones for gangs
Daily-wage labour often shares one device. A group face check-in still has to verify each face.
Cope with low light and dust
Site conditions aren't a studio. Poor captures need a fallback, not a blocked worker.
Run offline
The face match should happen on the device and sync later, so remote sites still get verified attendance.
Store face data safely
Face templates must sit under strict, role-based access — not be visible to the whole company.
What Bazat Tracker does
Face verification on every punch, built for site reality rather than an office lobby.
One-time enrolment
Each employee registers their face once, from the app, in under a minute.
Live match on punch-in
A live selfie is matched to the registered face before attendance is recorded — with GPS and time attached.
Liveness / anti-photo check
Holding up a printed photo or a screen is rejected, so the face has to be real and present.
Group check-in for gangs
A supervisor can run a face-verified group check-in inside the site fence for shared-phone labour.
Face + location on one punch
Identity and place are captured together, so a verified face at the wrong site still doesn't count.
Low-confidence → approval
A weak match routes to a supervisor for a decision instead of being accepted or refused blindly.
Rolling it out
- 1
Enrol faces
Each employee registers their face from the app; supervisors can assist labour gangs.
- 2
Assign to sites
Attach people to their site fences so face + location are checked together.
- 3
Set the match threshold
Choose how strict the match is, and whether borderline punches auto-approve or wait.
- 4
Roll out
One practice punch each. Re-enrol anyone whose first capture was poor.
- 5
Review flagged punches
Check the small number of low-confidence or liveness-failed punches each day.
Fingerprint machine vs plain selfie app vs face + GPS
| Capability | Fingerprint machine | Plain selfie app | Bazat Tracker |
|---|---|---|---|
| Confirms identity | |||
| Needs no shared device to queue at | |||
| Carries location with the punch | |||
| Liveness / anti-photo check | |||
| No hardware to install per site | |||
| Works offline | |||
| Group check-in for labour gangs |
Partial = supported weakly, or without a liveness / location check.
Face attendance app — FAQs
The employee registers their face once. On every punch-in, the app captures a live selfie, matches it against the registered face, and only then records attendance — together with GPS location and time.
Yes. Because each punch requires a live face match to the specific employee, a colleague cannot clock someone in, and a shared phone cannot produce attendance for someone who isn't there.
On modern phone cameras, match accuracy is very high in normal conditions. Bazat Tracker uses liveness checks to reject a photo of a photo, and low-confidence matches can be routed to a supervisor for approval instead of being accepted blindly.
It performs best with a reasonably lit face. On dark or dusty sites, the app prompts the worker to move to better light or uses the phone's screen fill light; genuinely unreadable captures fall back to supervisor-verified check-in.
Yes. The face match runs on the device and the result syncs when the network returns, so remote sites still get verified attendance.
For field and multi-site teams, yes — there's no shared device to queue at or to spread germs, no hardware to install per site, and the punch carries location as well as identity. A fingerprint machine only works at the one place it's bolted to.
Face templates are stored against the employee's profile under the same role-based access controls as the rest of Bazat Tracker, visible only to the admins your organisation authorises.
See face-verified punch-in on a demo
We'll enrol a face live, run a real punch, try to beat it with a photo, and show the group check-in for shared-phone labour.