DigitalHR- Face Recognition Attendance System(Online)

IMPORTANT NOTICE

Samsung devices are currently facing issues with the wrong GMSCore variant on their Android 14 test devices, affecting face detection capabilities. Developers from ML Kit have identified this problem and are collaborating with Samsung to resolve it. It’s important to note that this application functions smoothly on all Android devices and iPhones, excluding the latest Samsung models. We are eagerly awaiting the patch fix and apologize for any inconvenience in the meantime.

Face Recognition Attendance System

The face recognition attendance system offers a comprehensive attendance management solution, written in Flutter. This attendance system is feature-rich, utilizing face recognition attendance technology to manage attendance online. Google ML Kit is employed for face recognition to learn and identify employees’ faces. The system requires just one device, which can be installed in an office where all employees register. Once registered, employees can perform check-ins, check-outs, lunch-ins, and lunch-outs. This is an online attendance system version of our offline application.

In addition to using Google ML Kit for face recognition, the application ensures that users cannot alter their daily attendance dates. This mechanism is effective on both Android and iOS platforms, eliminating the need for web servers or internet connectivity, thus preventing employees from tampering with their attendance records. The reports generated are tailored for HR representatives, providing all necessary data in a convenient export format.

This attendance software features a simple coding structure, clean functionalities, and a modern design that enhances the application’s uniqueness and appeal. Built using the Flutter programming language, the application is compatible with both Android and iOS platforms.

Mobile Application Features:

• Single Device Application – Just ONE device is enough for all employees
• Hybrid Mobile Application
• Works on Android as well as iOS
• Machine Learning via Google ML Kit for Facial Recognition
• Dashboard to perfrom check in/check our as well as lunch in/lunch out
• Settings Panel
• Company Profile Setup
• Birthday Reminder
• Notices Management
• Fraud Detection as well as check. Thumbnail size images are taken during each attendance and admins can verify this from setttings page
• Other general settings

Web Application Features:

• Laravel Framework
• Clean Code
• Create Employees
• Employees Management
• View Daily Attendances
• View Monthly Attendance
• Setup your official holidays
• Send Notices
• Custom Birthday Messages
• General Settings
• Employee Leave from dashbaord
• Shift Management
• Department Management

This face recognition attendance machine is a versatile digital HR system, offering both mobile and web-based solutions. The face recognition time attendance system enhances security and efficiency, ensuring accurate and tamper-proof attendance records. Whether you need a face attendance machine or a comprehensive attendance management software, our system meets all your needs with advanced face recognition attendance capabilities.

Demo Link Admin Panel:

URL:https://digitalhr.cyclonenepal.com
Username:[email protected]
Password:[email protected]

App Credentials

username: [email protected]

password: [email protected]

Master password for entering settings: admin@123

What do you get?

• .dart file
• .yaml file
• info.plist file
• .php demo file
• .env demo file
• Well documentation
• user manual

Fonts Used

google sans

Icons:

FontAwesome

Flaticons

Online Support :

If you have any questions, please email us at
[email protected]

Don’t forget to rate the template. Thanks so much!

Notes:

• Images are only for demo purpose and not included with the download bundle.

 date: October 31, 2024
1) Flutter updated to latest version

Note: Please refer to our online documentation for migration steps

 date: January 2024
1) Crash issue in iOS device while face recognition fixed

 date: February 5, 2024
1) Face Recognition issue fixed

Note: Please refer to our online documentation for migration steps

 date: February 11, 2024
1) Attendance Report issue fixed
2) Php version upgraded to 8.2

Note: Please refer to our online documentation for migration steps

 date: February 20, 2024
1) Time Zone Issue fixed

Note: Please refer to our online documentation for migration steps

 date: July 12, 2024
1) Face id being deleted issue fixed
2) Early checkout issue in shift management issue fixed

Note: Please refer to our online documentation for migration steps