Attendance

A face recognition attendance system with no machine at the gate

A face recognition attendance system replaces the queue at the fingerprint reader with a camera that simply watches people walk in. PGAK runs face recognition on the CCTV cameras already mounted at your entrances — each enrolled person is recognised at walking pace and logged with a timestamp and the exact frame, so the register fills itself and every entry carries its own proof.

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0
terminals to buy, mount or maintain
Walk-through
recognition at normal walking pace
Every entrance
any camera can mark attendance
Photo-backed
each record stores its own frame

Sound familiar?

Two hundred workers, one biometric terminal, and a queue that eats twenty minutes of every shift.
Wet, worn or dusty fingers that the reader rejects three times before giving up.
Proxy punching — one person carrying two thumbs' worth of attendance.
A machine at the main gate that never sees who came in through the side.
Payroll disputes that come down to a spreadsheet cell nobody can prove.

How face recognition attendance actually works

There is no new hardware in this system. The work happens in software, on the camera feeds you already record.

Enrol each person once, from a phone

A short guided face scan builds the reference. No enrolment hardware, no visit to an office — the scan can be done on the employee's own phone in under a minute.

The entrance camera does the identification

As people walk through, faces are matched against the enrolled list. Several people can enter together; each is logged separately, at normal walking pace, without stopping or touching anything.

Every record carries its frame

Each attendance entry stores the exact image the recognition came from. A disputed half-day is settled by looking at the photograph, not by arguing about the register.

The log flows into shifts and payroll

Late marks, half days and overtime are derived from the same camera-written log, so the hours actually worked are the hours paid — with no retyping in between.

Face recognition vs a face attendance machine

Wall-mounted face attendance machines fix the hygiene problem of fingerprints but keep every other limitation: one device, one door, one queue, and a per-door hardware cost every time you want to cover another entrance. Camera-based recognition inverts that — every camera you own is a potential check-in point, the side gate and loading bay included, and adding coverage is a software change rather than a purchase order.

What honest vendors admit about accuracy

Face recognition needs a reasonably lit, reasonably front-on view. A camera mounted very high and looking at the tops of heads will not identify anyone reliably until it is repositioned — we check this during the free feasibility review rather than promising a blanket accuracy number. Indian sites also sit under the DPDP Act: employees must be told what is collected and why, and facial data must be kept no longer than payroll needs.

face recognition attendance system — common questions

How does a face recognition attendance system work?

Employees are enrolled once with a short face scan. Software then matches faces seen by your entrance cameras against that enrolled list, and writes an attendance record — time, person and the camera frame — as each person walks in. No terminal, card or fingerprint is involved.

Do we need special cameras for face recognition attendance?

Usually not. The deciding factor is placement, not the camera's age: it needs a reasonably lit, roughly face-height view of the entrance. Most existing entrance cameras qualify, and the ones that don't typically just need remounting.

Can face recognition attendance stop proxy attendance?

It makes proxy attendance far harder than fingerprints or cards, because every record stores the photograph it came from. If a mark is questioned, you look at who actually walked through — there is no thumb or card to hand to a friend.

Is a face recognition attendance system legal in India?

Yes, with informed consent. Facial data is personal data under the Digital Personal Data Protection Act, so employees must be told what is collected, why, and for how long it is kept. A simple internal notice at rollout covers this; retention should match what payroll actually needs.

What happens if someone is not recognised?

Unrecognised faces are flagged for review rather than silently dropped — an admin sees the frame and can mark the person manually while the enrolment photo is improved. The system is designed so a miss costs a tap, not a day's wages.

See it working on your own cameras.

Book a free demo and watch PGAK turn one of your live feeds into intelligent protection — in about 20 minutes.

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