🏆 DigitalHR – Face Recognition Attendance System (Online)

DigitalHR is an AI-powered online attendance system that uses face recognition to automate and secure staff check-in/out processes, designed for offices, schools, clinics and remote workforce management.

🚀 Overview

DigitalHR – Face Recognition Attendance System (Online) provides a modern solution for attendance tracking by replacing manual roll-calls, fingerprint machines or card swipes with automated face identification. Using cloud or web-based infrastructure, it supports online access from anywhere—ideal for multi-site organisations, remote teams and hybrid work environments. It offers efficient, flexible and contactless attendance workflows.

Real-world use cases include: office employees checking in/out via a tablet or kiosk, remote workers scanning from authorised mobile device, educational institutions simplifying roll calls, or clinics tracking staff timings effortlessly.

Target users: HR teams, attendance administrators, schools, hospitals, factories, and any organisation seeking touchless, accurate attendance logging with minimal hardware.

✨ Key Features

• AI-Powered Face Recognition: Uses Google ML Kit or similar to learn and identify faces for automatic attendance. :contentReference[oaicite:1]{index=1}
• Check-In / Check-Out & Lunch-In / Lunch-Out: Tracks multiple attendance types (arrival, departure, breaks) on a single device. :contentReference[oaicite:2]{index=2}
• Single Device Deployment: One device placed at a location is sufficient for all employees to register and use. :contentReference[oaicite:3]{index=3}
• Hybrid Mobile / Web Interface: Works on Android & iOS (Flutter-based) for mobile apps, and includes web admin panel based on Laravel or equivalent. :contentReference[oaicite:4]{index=4}
• Shift, Department & Holiday Management: Manage multiple shifts, departments, official holidays and timing rules. :contentReference[oaicite:5]{index=5}
• Fraud & Tamper Detection: Prevents back-dating or future-dating of attendance, captures thumbnail images during check-in for verification. :contentReference[oaicite:6]{index=6}
• Reports & Exporting: Daily/monthly attendance reports, export to CSV, filter by employee or department. :contentReference[oaicite:7]{index=7}
• Company Profile & Notices: Set up company settings, notices, birthday reminders and manage employee lists. :contentReference[oaicite:8]{index=8}

⚙️ Technical Stack

• Mobile App: Flutter (for Android & iOS) implementing face recognition and PW interface. :contentReference[oaicite:9]{index=9}
• Backend / Web Admin: Laravel or PHP with MySQL/MariaDB database for web panel. :contentReference[oaicite:10]{index=10}
• Face Recognition Engine: Google ML Kit or a mobile/embedded model for real-time face detection/recognition. :contentReference[oaicite:11]{index=11}
• Server Requirements: PHP 7.4+, Apache/Nginx, MySQL 5.7+/MariaDB, SSL for secure attendance transactions.
• Security: IP/time tamper checks, image logging of check-in/out, role-based access for admins. :contentReference[oaicite:12]{index=12}

🧩 Installation Guide

1. Download: Obtain the DigitalHR Online package from the original marketplace or vendor. :contentReference[oaicite:13]{index=13}
2. Upload Files: Upload the backend web files to your server, set up the mobile app package to deploy to a device or kiosk.
3. Create Database: Create a MySQL/MariaDB database and configure credentials in the config file (e.g., `.env` for Laravel).
4. Install Dependencies: For Laravel run `composer install`; for Flutter build the mobile app for Android/iOS and deploy to device.
5. Run Migrations: Run database migrations/seeder to create the required tables: employees, attendance logs, shifts, etc.
6. Device Setup: Register the kiosk/mobile device in the system, register employee faces via mobile app, and calibrate camera/lighting as needed.
7. Go Live: Start using for check-in/out; adjust shift rules, upload holiday list, monitor reports from web panel.

📦 Deliverables

• Full source code of both mobile app (Flutter) and web/admin panel.
• Documentation covering installation, setup, and usage.
• Demo data (sample employees, shifts) and configuration templates.
• Updates/bug-fixes as per vendor policy.

📱 Supported Platforms

• Mobile App: Android (via APK or Google Play) & iOS (via App Store or Enterprise deployment). :contentReference[oaicite:14]{index=14}
• Web Admin Panel: Compatible with all modern browsers (Chrome, Firefox, Edge, Safari).
• Server Hosting: Linux/Windows server running PHP 7.4+, MySQL/MariaDB, SSL enabled.

🧠 Notes

• License: DigitalHR – Face Recognition Attendance System (Online) is distributed under a commercial license (or GPL if stated by vendor). Users must respect the original licensing terms. :contentReference[oaicite:15]{index=15}
• Customization: You can customise employee fields, facial recognition thresholds, shift rules, report templates, and add API integration with payroll/HR systems.
• Privacy & Compliance: Because biometric data is involved, ensure you comply with local data protection laws (GDPR, CCPA, etc.). Face recognition systems can raise regulatory concerns. :contentReference[oaicite:16]{index=16}
• SEO Assurance: Optimize external kiosk pages (if any) with appropriate metadata; keep tracking code minimal to preserve performance and privacy compliance.

👨‍💻 Original Developer Credit

Developed by HtmlDesignTemplates (on CodeCanyon). Respect the marketplace terms and credit the original author when required. :contentReference[oaicite:17]{index=17}

🔒 Disclaimer

This software uses biometric facial recognition and attendance tracking. Employers and organisations must ensure appropriate legal basis and informed consent when using biometric data. The vendor/distributor is not responsible for compliance in your jurisdiction. Please review local privacy and employment laws before deployment.