Capability
Face recognition attendance — assess capture and review
AI Alerto by PGAK assesses whether a suitable gate-camera view can support attendance observations for enrolled employees. Test the intended arrival and departure process, including any pause, interaction or fallback, under representative shift-change conditions. Confirm employee mapping, review of missed or ambiguous records, the required export and any integration or additional hardware in the written scope. A captured event is an input to attendance review, not an automatic payroll decision.
How face recognition attendance system works
Enrol using the supported process
Each employee is enrolled using the selected system's supported procedure. Confirm the employee identity, authorized sample requirements and an approved process for exceptions.
Test the intended entry flow
Assess whether the gate camera can identify enrolled people during the intended arrival process. Document any required pause or interaction, test shift-change flow and retain an approved fallback for missed or ambiguous records.
Separate the unknowns
Confirm how the selected setup handles people who are not enrolled, including whether an event or snapshot is produced and who may review it. Do not assume an unknown-face log is a complete visitor or contractor headcount.
Export for payroll
The export — in/out times per person per day, with the triggering snapshot for each event for dispute resolution — is confirmed in the written scope.
Where it earns its keep
- Factory gates where fingerprint readers fail on dusty or damaged hands
- Offices retiring an access-card system nobody wants to carry
- Schools assessing gate attendance against the required records and authorized review process
- Sites with heavy contractor traffic and no reliable headcount
What it won’t do
Every AI vendor lists strengths. These are the limits, so you can plan around them instead of discovering them.
- It is an attendance record, not a legal timekeeping certification — verify it meets your own audit requirements before retiring an existing system.
- Employees must be informed and enrolled with consent. That is a policy step we will not skip on your behalf.
- High-throughput gates need a representative shift-change trial. Check whether the existing view is suitable or an additional camera is needed, and record capture failures, missed matches and correction responsibilities.
Attendance automation — common questions
How much does face recognition attendance cost in India?
PGAK quotes for the assessed site and agreed scope. Review the busiest arrival pattern, capture view, lighting, selected software and processing requirements together. Confirm whether existing cameras are suitable or whether another view or additional equipment is needed; a fixed mounting height alone does not settle that decision. Bring the gate count, shift pattern and required attendance output for a scoped quotation.
Can this replace our biometric fingerprint machine?
Possibly. Compare the proposed capture method, record format, shift-change flow and exception process with your current arrangement. Any pause, interaction, required PPE and supported fallback should be included in the trial. Run an agreed parallel comparison and confirm the required records and approvals before retiring the existing machine; do not assume identical records or a queue-free result.
Does it stop buddy punching?
Do not assume that face matching alone prevents proxy attendance. Check identity enrolment, administrator access, the exact configuration's supported presentation-attack safeguards and review of uncertain records. Request evidence for any anti-spoof claim and test the agreed workflow; liveness is not implied merely by using a camera.
Can we export attendance to our payroll software?
The export — structured data with in/out timestamps per person per day — and the format your payroll software expects are confirmed in the written scope.
What if someone isn't recognised one morning?
Keep a missed or ambiguous record visible through the approved exception process; do not automatically mark an absence. Confirm whether the selected setup produces an event or supporting image, and who can review and correct it. Investigate capture conditions, identity mapping, enrolment and configuration before deciding the remedy. Required PPE stays in place, with an agreed supported fallback where needed.
Sectors that lean on this: Factories and manufacturing, Textile and hosiery units, Rice shellers and grain mandis, Hotels and restaurants, Offices and IT parks, Schools and campuses, Construction sites — see every industry PGAK serves.
Calculator · C28
Attendance automation: estimate it for your site
Use your own measurements. The result is the staff time released, shown separately from any cash, using the formula below. It runs in your browser and nothing is sent anywhere.
Result
Enter your own figures, or load the worked example, to see the result.
How it is calculated
hours = employees × days × (old − new) ÷ 60 − correction hours
Worked example (illustrative inputs)
100 employees; 26 days; 0.5 old; 0.1 new; 2 correction hours.
staff time released: 15.333 hours a month.
Formula version 1.0.0. The full standalone tool: attendance admin time.
What this does not tell you
- Hours released are capacity, not cash. They become cash only through a mechanism you state — overtime that stops, a post that is not refilled — entered as the realisation fraction.
- The 'after' values are your assumptions or pilot measurements. PGAK publishes no effectiveness figure for this feature.
- Results must not drive automated punishment, pay deductions, access denial or employment decisions. Use requires appropriate notice, a lawful purpose and human review of every exception.
Evidence status: Supplier/integration or marketed capability; PGAK availability and site performance require verification.
Discuss your camera setup
Share your phone number, city and camera count. We will clarify the intended use case and agree assessment scope and timing with you. Do not submit camera credentials or footage.