Simple to roll out and easy to use. Proven for real-world operations.
Eliminate proxy attendance, fake GPS and manual registers with a secure, offline-ready face recognition solution trusted by offices, factories, hospitals, schools, clubs, gymnasiums, municipal corporations and government departments.
Used by organizations managing 10 to 20,000+ employees globally
✅ Trusted by diverse organizations across multiple industries and regions globally | Offices • Government • Factories • Schools • Gymnasiums • Catering & Mess • Infrastructure Projects
Employees marking attendance for others, causing payroll losses.
Location spoofing apps allowing false attendance from home.
Error-prone, manipulable and time-consuming paper records.
No visibility on who is actually present onsite.
Face-Attendance combines biometric face verification, multi-shape geo-fencing and mock-location detection to ensure every attendance entry is genuine, location-verified and tamper-proof — even in offline environments.
Simple to roll out and easy to use. From enrollment to reporting, the entire process is built for real-world teams working across locations. Setup typically takes less than an hour with remote support from our team.
Capture employee faces once, configure shifts and define geo-fences for each location or zone (wards, plants, schools, sites, etc.).
Employees use kiosk or self-attendance mode. The app verifies their face, checks geo-fence and blocks mock-location / fake GPS apps automatically.
HR and supervisors view real-time dashboards, manage exceptions and export attendance for payroll, compliance and audits.
Many attendance systems perform well only in ideal office environments. Face-Attendance is engineered for tough, real-world conditions with outdoor staff, dynamic teams and multi-location deployments.
Genuine feedback from organizations using Face-Attendance in payroll, training and real-world workforce environments.
4.1 Average rating based on user feedback
“We received excellent results using Face-Attendance with our payroll system via API integration. Performance and response have been very consistent, and attendance data flows smoothly into payroll.”
“The system recognizes participants automatically and saves a lot of time during training sessions. Attendance monitoring for batches and repeat sessions has become effortless.”
“A dynamic, efficient and simple solution that performs tremendously well for Face-Attendance management in real-world environments, from factory floors to field deployments and project sites.”
“Face-based identification has made member attendance and access tracking far more streamlined. It saves time at entry points and removes manual verification inefficiencies.”
How Face-Attendance solved real attendance challenges in complex, high-churn environments.
Sector: Factories / Manufacturing
ChallengeAttendance was recorded only at the factory entry gate using fingerprint devices. Due to the large campus, workers often reached their actual workstations 20–30 minutes late after punching in, and similarly left work early while still marking a full shift. Some employees even exited directly after marking attendance. This resulted in productivity loss and unnecessary overtime payments under labour laws.
SolutionFace-Attendance was deployed directly at actual production areas and shop floors instead of only at entry gates. Attendance was validated using facial recognition at real work locations with strict geo-fencing and time tracking.
OutcomeSector: Catering / Mess Services / Institutional Dining
ChallengeDuring peak lunch hours, a large number of workers and students arrived simultaneously at the mess facility. Manual token issuing and register-based tracking were impractical, resulting in many individuals consuming meals without any proper record. This led to daily revenue leakage, inaccurate meal counts and difficulty in planning procurement.
SolutionFace-Attendance was implemented at the mess entry points, allowing automatic facial recognition of individuals as they entered in groups. The system captured attendance in real-time without slowing down the serving process, even during heavy rush periods.
OutcomeSector: Construction / Infrastructure Projects
ChallengeDaily workforce at project sites changed frequently, with workers hired through multiple contractors. Manual attendance and fingerprint systems failed due to proxy punching, unregistered substitutes and identity misuse. Contractors often reported inflated attendance numbers, leading to excess payments and lack of accountability.
SolutionFace-Attendance was deployed as a mobile-based attendance system for on-site supervisors, capturing facial verification directly at work zones with strict geo-fencing. Each worker’s identity was uniquely verified before marking attendance.
OutcomeSector: Municipal Corporations / Sanitation Services
ChallengeSanitation workers were reporting attendance through supervisors without actually reaching assigned zones or completing scheduled routes. Manual registers and centralized biometric devices failed to reflect real on-ground presence, leading to poor service quality and public complaints.
SolutionFace-Attendance was implemented for field teams with ward-wise geo-fencing and location-based attendance. Facial recognition ensured genuine presence at assigned routes and timing windows.
OutcomeSector: Schools & Educational Institutions
ChallengeAttendance of security guards, housekeeping and maintenance staff was loosely monitored using manual registers, resulting in late arrivals, early departures and proxy marking. School management lacked reliable records for payroll and compliance purposes.
SolutionFace-Attendance was deployed in kiosk mode at school premises, enabling face-based check-in and check-out for all support staff with accurate timestamps.
OutcomeA quick snapshot of how real deployments transformed attendance, overtime and consumption tracking across factories, project sites and mess/catering operations.
Gate-based fingerprint vs workstation-level Face-Attendance
| Before | After |
|---|---|
| Attendance punched at entry gate, workers reaching workstations 20–30 minutes late. | Attendance captured at actual work locations with precise time logs. |
| Early exits and late gate punches inflating shift duration and overtime. | Working hours linked to real presence at shop floor or production area. |
| Overtime payments driven by gate records rather than real work. | Reduced overtime leakage and more accurate payroll costs. |
| No clear audit trail of where workers actually spent time. | Verifiable history of attendance by zone, line or area. |
Manual registers vs geo-fenced Face-Attendance
| Before | After |
|---|---|
| Contractors reporting inflated headcount with ghost workers. | Each worker uniquely verified by face at project sites. |
| Paper registers and signatures difficult to verify on ground. | Real-time attendance logs accessible from central dashboard. |
| Frequent disputes over daily labour bills and presence. | Clear, time-stamped records reduce billing disputes. |
| No single view of workforce across multiple sites. | Consolidated view of workers across all active locations. |
Manual tokens vs fast group face recognition
| Before | After |
|---|---|
| Peak-hour rush made manual token or register entry impractical. | Face-Attendance at entry records each person without slowing queues. |
| Many meals consumed without any recorded entry. | Every meal consumer identified and counted in real time. |
| Unclear daily meal counts and revenue leakage. | Accurate daily totals for billing and planning. |
| Over/under procurement and food wastage. | Better forecasting based on actual consumption data. |
Whether your workforce is in offices, on the shop floor or spread across city wards, Face-Attendance adapts to your structure while keeping attendance accurate and tamper-proof.
Designed for environments where workforce changes frequently and accuracy is critical.
Ward-level monitoring of field staff and sanitation workers.
Shift-based attendance for operators and contract workforce.
Attendance for teaching, non-teaching and support staff.
High-churn, contractor-heavy workforce at construction, roads, utilities and other project sites.
Detects and blocks mock-location apps to ensure only genuine on-site attendance is recorded.
Multi-shape geo-fencing with polygon, circle and rectangle support to match real-world boundaries.
Attendance continues without internet and securely syncs once connectivity is restored.
Share your workforce details and locations, and we’ll set up a tailored 30-day trial so you can experience genuine, location-verified attendance in your own environment.
No complicated hardware. No complex setup. Just genuine attendance.