REMOTE SITE GPS ATTENDANCE SYSTEM

1. Executive Summary

This proposal outlines a centralized mobile-based attendance solution designed for organizations operating multiple remote work sites. The system enables employees to clock in and clock out using their mobile devices while enforcing strict geolocation validation and identity verification controls. All attendance data is transmitted securely to a central PHP-based server for monitoring, validation, and reporting.

2. System Architecture Overview

• Android Mobile Application (APK)
• PHP-Based REST API Backend
• Centralized Web Administrative Dashboard
• Geofencing Validation Engine (50m strict radius)
• Smart Photo Verification Engine
• Fraud Detection & Audit Logging Module

3. Clock-In / Clock-Out Authentication Model

Smart Face Validation

• If Current Location is outside allowed Geofence radius → Clockin/Out is rejected instantly
• User presses Clock-In / Clock-Out button
• App captures LIVE front camera photo
• Photo embeddings captured compared against employee face embeddings stored in database
• Smart facial comparison algorithm evaluates match score
• Live photo validation ensures no recorded image or screen replay
• If match score is outside threshold → Clockin/Out rejected instantly

Important: Live photo must be captured at the time of login. Pre-recorded, gallery images, or spoof attempts are automatically rejected.

4. Geofencing Enforcement (Mandatory for All Logins)

All clock-in and clock-out attempts must pass strict GPS validation rules.

Validation Parameter	Rule
Expected Site Coordinates	Retrieved dynamically from API
Allowed Radius	Maximum 50 meters
Distance Calculation	Haversine formula or equivalent geospatial calculation
If Distance > 50m	Immediate Rejection with Warning

If user location exceeds 50 meters from assigned site, login is automatically rejected.

5. Fraud Prevention Controls

• GPS radius enforcement (≤ 50 meters)
• Duplicate clock-in prevention
• Mock GPS detection
• Live photo liveness detection
• Facial similarity threshold validation
• Instant rejection response from API
• Full audit trail of successful and rejected attempts

6. Clock-In Validation Workflow

1. App captures GPS coordinates
2. App fetches assigned site location from API
3. Distance calculated
4. If Distance ≤ 50m → Continue
5. If Distance > 50m → Reject
6. User authenticates via Live Face
7. Identity validation
8. API returns ACCEPTED or REJECTED instantly

7. Administrative Dashboard Capabilities

• Real-time attendance monitoring
• Live site-based filtering
• Map-based attendance visualization
• Rejected attempt reporting
• Employee attendance history
• Export to Excel / PDF
• Audit log review

8. Technical Stack

• Backend: PHP (REST API)
• Database: MySQL
• Mobile App: Android (Java)
• Face Comparison: AI-based facial similarity engine
• Geolocation: Android Location Services

9. Strategic Benefits

• Eliminates manual attendance registers
• Prevents buddy punching
• Ensures physical presence verification
• Provides centralized oversight across remote sites
• Scalable to unlimited locations
• Enterprise-grade fraud detection

10. Project Investment

Total Implementation Cost: KES 110,000

Includes mobile application development, API integration, geofence configuration, smart face validation integration, administrative dashboard, deployment, and user training.

Prepared By

Comptracks Systems
Business Management Solutions