Stop Proxy Attendance, Fake GPS and Payroll Leakage

Stops Fake Presence & Proxy Attendance

Gate punching, supervisor-marked attendance and manual registers often show presence even when people never reach their actual work locations.

• Attendance captured at real work zones, not just entry points
• Facial verification ensures only the actual person can mark attendance
• Geo-fencing restricts attendance to authorized locations only
• Creates a verifiable audit trail with face, location and timestamp

Prevents Financial Leakage & Payroll Manipulation

Inaccurate attendance directly results in overtime inflation, contractor overbilling, unrecorded consumption and unreliable payroll data.

• Working hours linked to actual presence at work locations
• Verified daily headcount for employees and contractors
• Instant capture during peak rush without slowing operations
• Reliable, export-ready data for payroll, billing and audits

Works in Real-World Conditions

Real deployments involve offline locations, peak-hour rushes, outdoor environments and frequently changing workforce.

• Offline-first operation with secure automatic sync
• Fast face capture without queues, even for large groups
• Handles high-churn workforce without re-enrollment friction
• Reliable performance in outdoor, low-light and harsh conditions

Large Manufacturing Unit – Gate vs Workstation Attendance

Sector: Factories / Manufacturing

Challenge

Attendance 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.

Solution

Face Attendance App: AI & GPS 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.

Outcome

• Eliminated false working hours and gate-based manipulation
• Reduced overtime payments and payroll leakage
• Improved workforce discipline and productivity
• Accurate attendance linked to actual work zones

Catering & Mess Operations – Unrecorded Meal Consumption

Sector: Catering / Mess Services / Institutional Dining

Challenge

During 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.

options Solution

Face Attendance App: AI & GPS 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.

Outcome

• Eliminated unrecorded meal consumption
• Real-time visibility of who consumed meals each day
• Accurate daily meal count for inventory planning
• Reduced food wastage and financial losses
• Smooth crowd flow without manual intervention

Infrastructure Project Sites – Managing High-Churn Workforce

Sector: Construction / Infrastructure Projects

Challenge

Daily 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.

Solution

Face Attendance App: AI & GPS 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.

Outcome

• Eliminated proxy attendance and ghost workers
• Accurate daily headcount for contractor billing
• Improved accountability and workforce transparency
• Reduced disputes between contractors and management
• Real-time worker presence dashboard for supervisors

Municipal Sanitation Teams – Real-Time Field Accountability

Sector: Municipal Corporations / Sanitation Services

Challenge

Sanitation 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.

Solution

Face Attendance App: AI & GPS 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.

Outcome

• Verified field attendance at real working locations
• Improved route compliance and service delivery
• Transparent monitoring for municipal managers
• Reduced fake reporting and supervision gaps
• Higher citizen satisfaction and operational control

Schools – Attendance of Non-Teaching & Support Staff

Sector: Schools & Educational Institutions

Challenge

Attendance 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.

Solution

Face Attendance App: AI & GPS was deployed in kiosk mode at school premises, enabling face-based check-in and check-out for all support staff with accurate timestamps.

Outcome

• Improved punctuality and staff discipline
• Accurate attendance-based payroll processing
• Full audit trail of staff presence on campus
• Reduced administrative monitoring effort
• Greater trust and operational transparency