# faceTam > Initial release of face recognition-based teacher attendance application Canonical page: [https://chrome-stats.com/d/com.salman.face\_tam](https://chrome-stats.com/d/com.salman.face_tam) ## Overview - **ID:** `com.salman.face_tam` - **Platform:** Android - **Type:** Android app - **Status:** Available - **Publisher:** SETUP Inc - **Category:** EDUCATION - **Downloads:** 27 - **Last updated:** 2026-06-13 - **First published:** 2026-06-13 - **Publisher country:** ID - **Data as of:** 2026-09-14 - **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=com.salman.face_tam) - **Privacy policy:** [https://sites.google.com/view/salmanalfarizzi/halaman-muka](https://sites.google.com/view/salmanalfarizzi/halaman-muka) ## Description The Face Recognition-Based Teacher Attendance Application is a mobile application designed to facilitate the digital, accurate, and efficient process of recording teacher attendance. This application was developed to replace the manual attendance system, which is still prone to recording errors, data manipulation, and delays in the recapitulation process.

This application utilizes facial recognition technology as the primary method for recording attendance. The attendance process is carried out by utilizing the smartphone camera to capture the user's facial image, which the system then processes and compares with previously registered facial data. This method automatically verifies user identity, thereby minimizing fraudulent practices such as asking for someone else's attendance.

Furthermore, this application is equipped with a location restriction (geofencing) feature, which allows users to only record attendance within a certain radius of the school premises. This ensures that attendance is valid within the designated area.

The main features available in this application include:
1. Login using the registered Employee Identification Number (NIP) and password.
2. Facial registration serves as the initial data for the attendance verification process.

3. Attendance (arrival and departure) based on facial recognition.
4. Attendance history that displays attendance data in real time.
5. Attendance recapitulation to facilitate attendance data monitoring.
6. Profile update feature for user account management.

Successful attendance data will be automatically saved to a cloud-based database, simplifying data management, monitoring, and security. This system is also designed to provide notifications or information to users if an attendance process fails, such as an undetected face or location outside the designated area.

This application is expected to make teacher attendance more effective and efficient, while improving the accuracy and security of attendance data. This application is also expected to be a relevant digital solution to support the transformation of administrative systems in schools. ## Rankings - #2,489,234 — Overall ## Similar extensions and apps - [TIME - Face Attendance System](https://chrome-stats.com/d/com.time.neo.neo) — 26 users - [Face Recognition Attendance](https://chrome-stats.com/d/com.sequentec.heap.faceattendance) — 21,179 users - [SmartFace](https://chrome-stats.com/d/com.smartfaceedusoft.app) — 49 users - [Employee Attendance](https://chrome-stats.com/d/com.analogicsfacial.pvvnl) — 99,550 users - [My Attendance](https://chrome-stats.com/d/com.myattendance.monteage) — 185 users - [Biometric Attendance APP](https://chrome-stats.com/d/com.vmclassattendance) — 1,599 users - [faceATT](https://chrome-stats.com/d/face.att.app) — 753 users - [BRM Staff](https://chrome-stats.com/d/com.dinz.absencernew) — 66 users - [AttendFace](https://chrome-stats.com/d/com.gaspire.presensi) — 48 users - [Facial Attendance](https://chrome-stats.com/d/com.rannlab.facial_attendance) — 343 users - [TankhaPay Face Check](https://chrome-stats.com/d/com.tankhapayfacecheck.tankhapayfacecheck) — 529 users - [Face Time - فيس تايم](https://chrome-stats.com/d/com.abuYahia.facetimeApp) — 288,269 users, 3.61 / 5 --- Source: [Chrome-Stats](https://chrome-stats.com/d/com.salman.face_tam)