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DigitalHR- Face Recognition Attendance System(Online)

Digital HR (Online) is a complete solution for all your attedance management and is written in Flutter language. This applicaiton is rich in feature and especially used face detection for attendace. This applicaiton uses google ML Kit in order to learn the faces of employees. You just need one device for this applicaton. One device can be placed in an office and all the employees must be registered in the application, Once registered users can then perform their check in check out as well as lunch in and lunch out. This is an online version of our offline version application. Not only does this app uses Google ML Kit for facial recognition but we have made sure that users cannot perform their daily attendace on any back or future dates. This mechanism works for both android as well as iOS. You don’t need to depend upon any web server or internet for this applicaiton to run as well as you need not fear of employees tampering with the dates and performing their daily attendace. The report generated has been tailord for any HR Representative, All needed data are perfectly exported for your convenience. This application has simple coding structure, clean features, modern and unique design which will help your andrid application to be more beautiful as well as unique. This application was built using FLUTTER programming language hence suitable for both android and iOS mobile platform.

Attendance App - Online Attendance Management Flutter App | Android | iOS Mobile App Template

DigitalHR- Face Recognition Attendance System(Offline)

Digital HR (Offline) is a complete solution for all your attedance management and is written in Flutter language. This applicaiton is offline based which means you don’t require internet connection for using almost all of the features. The only time you need Internet is to email the exported data of user attendance records. Beside that all of the features in the applicaiton can be fully used without internet. This applicaiton is rich in feature and especially used face detection for attendace. This applicaiton uses google ML Kit in order to learn the faces of employees. You just need one device for this applicaton. One device can be placed in an office and all the employees must be registered in the application, Once registered users can then perform their check in check out as well as lunch in and lunch out. Not only does this app uses Google ML Kit for facial recognition but we have made sure that users cannot perform their daily attendace on any back or future dates. This mechanism works for both android as well as iOS. You don’t need to depend upon any web server or internet for this applicaiton to run as well as you need not fear of employees tampering with the dates and performing their daily attendace. The report generated has been tailord for any HR Representative, All needed data are perfectly exported for your convenience. This application has simple coding structure, clean features, modern and unique design which will help your andrid application to be more beautiful as well as unique. This application was built using FLUTTER programming language hence suitable for both android and iOS mobile platform.

Head Gestures Swipe - Touchless - (Face Detection)

With 3D Motion Sense technology, it looks like our way of interacting with phones is going to change soon. Touchless interactions have a promising future for sure, with Apple’s most ambitious product to date— AR glasses—already under development. While the True Depth technology on the front iPhone camera does allow you to add eye-tracking features to your applications, it is only available on iPhone X and above. Luckily, we can leverage Firebase’s ML Kit to help us. Specifically, ML Kit’s Face Detection API does a lot more than just face detection on the device. Some of the features that ML Kit’s Face Detection supports are: