PagarBook Lens · AI face recognition

AI powered face attendance
on any phone you own

Face recognition that reads a face in under a second and refuses a photograph. Touchless at the gate, accurate in the low light of an early shift, and every punch goes straight into the salary calculation.

A phone on the wallthe recognition is the product, that runs on any Android deviceRead in under a second99.2% on the light and the traffic of a real gateA photograph will not passa print held up to the camera is refusedMarked, not typedthe punch lands in the salary calculation itself

What the software does at the gate

The AI reads the face, your rules decide the rest. The register writes itself and the arguments stop.

One model, wherever it runs

Point Lens at the entrance and the gate is live in minutes. The same recognition runs on an Android at the door or on a PagarBook iD unit where the traffic needs one.

Checked on every punch

Proxy punching stops being possible, a photograph is refused, and every entry is timestamped as it happens.

No double entry

Every scan feeds payroll, so late arrivals, overtime and half days come from the punch itself.

Pushed live to managers

Punches, overtime and fines reach the hierarchy, with a scan image logged against each one.

Mounted at the entranceAny Android. Nothing to touch, nothing to hand out.

Watch the gate
mark itself

One face at a time. The shift, the grace period and your overtime rate decide the rest, and the register fills in as they arrive.

Attendance, today0 of 8 marked
  • Ravi KumarB1018:52 am
  • Sunita DeviB10211:00 am
  • Imran ShaikhB1039:22 am
  • Meena RaoB1048:58 am
  • Lakshmi NB105
  • Arun PatelB1069:41 am
  • Dinesh YadavB1078:55 am
  • Farid AliB1089:07 am
Shift9 to 6, ten minutes grace, fine past that, overtime after six at 1.5x

Example figures on a ₹780 day. Your shift, grace period, fine slab and overtime rate are your own.

Attendance
nobody can fake

Lens is the software. The phone is only where it runs

The recognition is the product. Install Lens on an Android phone you already own, mount it at the gate, and staff mark themselves by looking at the camera.

Marked at 09:27
He looks at it and walks onno card, no register, nothing to touch

The AI reads a face, and will not read a photograph

Recognition runs at 99.2% accuracy on real gate conditions, so one worker cannot punch in for another and a missing card is no longer an excuse.

Photographs and videos held up to the camera are rejected, which closes the loophole that catches most attendance systems out.

The Lens camera with the recognition mesh over a worker’s faceMatched · 99.2%
A live faceread in 0.4s
A printed photograph of a face held up in front of the cameraRejected
A photo held upno depth, no match

Built for early mornings, dim gates and no network

It reads faces in the low light of a 6am shift change and in the glare of an afternoon.

If the connection drops the punches are held on the phone and sync the moment it returns, so a bad network never costs you a day of attendance.

Low light · 6:04 amRead in 0.4s
3 punches held on the phoneno network
Synced at 09:12nothing lost

The punch becomes a payslip without anyone typing

Most machines store punches and somebody still keys them into a sheet. Lens sends the punch into the salary calculation directly, where the fine, the overtime and the PF are applied.

By the end of the month the payslip is already prepared. Nothing was entered twice, so nothing could be entered wrongly.

Akshay Kumar09:22 · punched in via Face Scan
Payslip · March
26 days present₹18,000
Overtime 3h at 1.5×₹450
Late fine−₹150
PF−₹1,840
Net payable₹16,460

Nobody typed any of it.

Marked at the gate, and already on your screen

He looks at the camera on his way in. Before he has sat down, the register on your desk has him at 09:30, in his shift, with his hours running.

A worker looking at a Lens unit mounted by the door, his attendance confirmed on its screen, and on a laptop beside it the attendance summary already listing him as present at 09:30 with his hours running

Built by PagarBook.
Trusted across India

1M+
Registered SMEs
650+
Districts Covered
10+
Languages Supported
4.6★
Play Store Rating

Loved by businesses
across India

★★★★★
“I am using PagarBook since 15 months! It has helped me in managing my 150 staff across 5 branches. Automatic attendance and online payments are very useful features for me”
VK
Vijay Kumar
Owner, Sai Ganesha Medicals
Attendance + Payments
★★★★★
“I am really happy to use PagarBook, it has really helped me to manage my staff. They maintain a good customer relationship, would insist others to use the product and see how good they are with their work”
AG
Aditya Goradia
Owner, Garodia Lifestyle & Garodia Fashion
Staff management
★★★★★
“PagarBook has been instrumental in handling our complete staff management, The entire digitization of our staff attendance, salary calculation and salary payouts has helped us save a lot of operational time and money month on month.”
SS
Smit P Sonani
Director, Coop Cabs
Attendance + Payroll
★★★★★
“Lens went up at the door and the arguments stopped. Salary day: two days to twenty minutes.”
NR
Nikhil Rathi, Owner
Manufacturing · Coimbatore
Lens + Premium
★★★★★
“26 workers, two units. Every filing ready on time.”
HS
Harleen Sethi, Director
Textile factory · Ludhiana
Desktop App
★★★★★
“I can see which shops they visited. Fake visits stopped.”
TS
Tara Sanghvi, Owner
Distribution · Ahmedabad
PagarBook Geo
★★★★★
“I am using PagarBook since 15 months! It has helped me in managing my 150 staff across 5 branches. Automatic attendance and online payments are very useful features for me”
VK
Vijay Kumar
Owner, Sai Ganesha Medicals
Attendance + Payments
★★★★★
“I am really happy to use PagarBook, it has really helped me to manage my staff. They maintain a good customer relationship, would insist others to use the product and see how good they are with their work”
AG
Aditya Goradia
Owner, Garodia Lifestyle & Garodia Fashion
Staff management
★★★★★
“PagarBook has been instrumental in handling our complete staff management, The entire digitization of our staff attendance, salary calculation and salary payouts has helped us save a lot of operational time and money month on month.”
SS
Smit P Sonani
Director, Coop Cabs
Attendance + Payroll
★★★★★
“Lens went up at the door and the arguments stopped. Salary day: two days to twenty minutes.”
NR
Nikhil Rathi, Owner
Manufacturing · Coimbatore
Lens + Premium
★★★★★
“26 workers, two units. Every filing ready on time.”
HS
Harleen Sethi, Director
Textile factory · Ludhiana
Desktop App
★★★★★
“I can see which shops they visited. Fake visits stopped.”
TS
Tara Sanghvi, Owner
Distribution · Ahmedabad
PagarBook Geo

Questions
owners ask

Most attendance machines only store punches, and somebody still keys them into a sheet. Lens puts the punch straight into the salary calculation, so nothing is entered twice.

Yes. It reads faces at the gate in early morning and evening light, and it keeps working when the network drops.

Not to start. Lens installs on an Android phone you already have. For a gate with hundreds of people at shift change, PagarBook iD is a dedicated unit that runs the same recognition and reads fingerprint as well as face.

99.2% face recognition accuracy, measured on real attendance at the gate.

Salary day should be the easiest day of your month

Talk to an expert and we will run it on your own staff. Or start free, it takes 2 minutes.

The PagarBook dashboard beside a phone marking a check-in