The DigitalHR Face Recognition Attendance System revolutionizes traditional tracking methods by leveraging advanced facial recognition technology to create a secure, efficient, and tamper-proof solution for modern workplaces. Built with Flutter for cross-platform mobile compatibility and Laravel for web administration, this comprehensive system eliminates the need for physical cards or biometric hardware while integrating seamlessly with existing HR workflows. You can experience the functionality firsthand through our demo APK before implementation.
Essential Compatibility Notice
Samsung devices running Android 14 currently experience face detection issues due to an incompatible GMSCore variant. Our development team has confirmed this conflict stems from Samsung’s test environment configurations, and we’re collaborating with ML Kit engineers to release a patch. This affects only the latest Samsung test devices – the application performs optimally on all other Android versions, iOS devices, and production Samsung models. We appreciate your patience as we resolve this isolated compatibility matter.
Core Functionality Overview
At the heart of this system lies Google ML Kit’s machine learning engine, which captures and analyzes 78 nodal points on an employee’s face to create a unique biometric signature. During registration, employees simply capture their face once on the central office device. Subsequent check-ins/outs require just a 2-second glance at the camera, with the system processing identification in under 800ms even with large workforces. This eliminates buddy punching while generating timestamped, geotagged records with thumbnail verification images to prevent fraud.
The solution operates through two synchronized components:A mobile application for frontline employee interactions and a web dashboard for administrative management. All attendance data syncs in real-time to cloud servers through encrypted channels, maintaining compliance with GDPR and biometric data regulations through automatic 90-day purging of facial templates when employees leave the organization.
Mobile Application Highlights
- Cross-Platform Functionality: Single Flutter codebase delivers native experiences on iOS and Android with 99.3% device coverage
- Centralized Device Management: Single installation point reduces hardware costs – supports 500+ employees per device
- Smart Attendance Tracking: Four-point verification (check-in/out + lunch-in/out) with auto-break calculations
- Proactive Communication: Birthday announcements and push notification broadcasts for company announcements
- Fraud Prevention System: Time-stamped facial thumbnails at each punch paired with device GPS verification
- Offline Resilience: Stores 72 hours of data locally during connectivity issues with auto-sync upon restoration
Web Administration Capabilities
- Centralized Workforce Management: Create employee profiles with department/assignment tracking and custom access levels
- Intelligent Reporting Hub: Generate daily/monthly attendance sheets with late arrival flags and pattern analytics
- Leave Management System: Approve/deny time-off requests with automated balance deduction and notification workflows
- Policy Configuration Center: Configure shift rotations, grace periods, overtime rules, and country-specific holiday calendars
- Biometric Oversight: Audit trail showing all facial verification attempts with matching confidence scores
- Automated Compliance: Customizable data retention policies and privacy protocol enforcement
Implementation and Technical Details
Deployment requires minimal infrastructure: one dedicated tablet/mobile device mounts at entry points, while administrators access the cloud-based portal. The system integrates with existing HRIS platforms through RESTful APIs, with sample webhook configurations provided for payroll synchronization. During onboarding, HR managers upload employee databases (CSV/XLS supported), triggering automatic registration invitations with facial capture instructions.
Administrative Access Information
Web Portal Demo: https://digitalhrface.cyclonenepal.com
Username: [email protected]
Password: [email protected]
Settings Master Key: admin@123
Technical Specifications and Resources
- Core Frameworks: Flutter 3.19 (Mobile), Laravel 10 (Web)
- Biometric Engine: Google ML Kit Face Recognition API
- Security Protocols: AES-256 encryption, OAuth 2.0 authentication
- Delivery Package: Complete Dart files, YAML configurations, PHP controllers, ENV templates
- Design Components: Google Sans typography, FontAwesome/Flaticons vector library
- Documentation: 45-page implementation guide with testing checklists and troubleshooting matrices
Continuous System Improvements
We maintain rigorous update protocols to ensure peak performance:
- October 2024: Upgraded Flutter SDK with enhanced facial landmark recognition
- January 2024: Resolved iOS crash incidents during low-light face detection
- February 2024: Implemented multi-angle face validation and PHP version upgrades
- July 2024: Fixed template deletion bugs and shift scheduling conflicts
Ongoing Technical Support
For implementation queries or technical assistance, contact our engineers at [email protected]. Provide device models and error screenshots for expedited solutions. Your feedback shapes our development roadmap – rate your experience to help us prioritize enhancements.
Note: Demonstration imagery shown may not reflect final deployment configurations. Facial recognition templates remain organizational property managed under strict access controls.
