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Coles Biometric Authentication System

Biometric AuthEnterprise WebNative MobileWorkforce Management

Enterprise-grade biometric authentication system developed for Coles Group to revolutionize driver shift management across their delivery network. Our team implemented a comprehensive solution featuring fingerprint and facial recognition technology that securely authenticates drivers at the start and end of shifts, ensuring accurate timesheet tracking, enhanced security, and streamlined workforce management. The system eliminated time theft, improved scheduling accuracy, and provided real-time visibility into driver availability across all distribution centers.

Timeline
12 months
Team Size
18 specialists
Investment
Upon request
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Challenges

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Integrating biometric hardware with Coles' existing workforce management systems

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Ensuring 99.8%+ accuracy for 2,500+ drivers across varying environmental conditions

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Managing diverse biometric data while maintaining strict privacy compliance

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Deploying hardware across 15+ distribution centers with minimal downtime

Solutions

Deployed enterprise-grade fingerprint and facial recognition hardware

Built secure biometric data processing pipeline with encrypted storage

Implemented real-time API integration with existing payroll systems

Created redundant authentication methods to ensure 100% shift coverage

Key Features

Multi-modal biometric authentication (fingerprint + facial recognition)
Real-time shift clock-in/clock-out with tamper-proof logging
Mobile workforce management app for 2,500+ delivery drivers
Automated timesheet generation and payroll integration
Driver availability tracking and scheduling optimization
Security alerts for unauthorized access attempts
Manager dashboard with attendance analytics and reporting
Executive workforce analytics and compliance reporting

Results & Impact

35% reduction in timesheet discrepancies and time theft incidents
99.8% biometric authentication accuracy across all environments
2,500+ drivers enrolled with seamless onboarding process
100% elimination of buddy punching and fraudulent clock-ins
$850K in annual savings through improved time tracking accuracy
78% reduction in administrative time spent on timesheet management

Project Metrics

99.8% authentication accuracy
2,500+ drivers enrolled
35% reduction in timesheet discrepancies

Technologies Used

frontend

Next.js 14React 18TypeScriptTailwind CSSProgressive Web App

backend

Node.jsExpress.jsPython FastAPIBiometric APIsREST APIs

database

PostgreSQLRedisEncrypted Biometric StorageAudit Logs

ai

OpenCVDlibFace RecognitionFingerprint MatchingNeural Networks

deployment

AWSDockerKubernetesEdge ComputingHardware Integration

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