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IT Certifications & Professional SkillsUdemy2024-2 Edition100% Free Video Course

Face Recognition in Android- The 2024 Android ML Guide

Face Recognition in Android- The 2024 Android ML Guide is a training course on face recognition in Android with Java and Kotlin, published by the online academy of Udemy. Face recognition on Android using Java and Kotlin involves creating applications capable of recognizing and verifying individual faces from images or video streams. These technologies have many applications including security, authentication, user interaction, etc. Using powerful libraries and frameworks, developers can implement efficient face detection and recognition capabilities in their Android apps. Using powerful libraries and frameworks, developers can seamlessly integrate these capabilities, enhancing the user experience and extending the functionality of their applications.While there are challenges, the benefits and potential applications make this an exciting and valuable area of ​​mobile development. In this training course, by using the high power of Java and Kotlin, you will create applications that will be able to recognize faces. This comprehensive course will enable you to seamlessly integrate facial recognition and recognition into your Android apps and harness the power of live camera images and videos. This training course is recommended for beginner Android developers who want to build Android applications based on facial recognition and recognition, and anyone who wants to build smart Android applications based on facial recognition and recognition in Java and Kotlin.

54 Video Lessons
26.9 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Face Recognition in Android- The 2024 Android ML Guide
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Course Features:
26.9 hours on-demand video
54 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Using facial recognition models with live camera images and videos on Android
Building security and attendance systems based on facial recognition
Using FaceNet and Mobile FaceNet models
Saving faces in the database for registration in Android
Using the Google ML Kit library
And …

Course Curriculum54 Lectures

9 sections • 26.9 hours total length

Prefer offline learning? Download all 54 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Face Recognition in Android- The 2024 Android ML Guide is a training course on face recognition in Android with Java and Kotlin, published by the online academy of Udemy. Face recognition on Android using Java and Kotlin involves creating applications capable of recognizing and verifying individual faces from images or video streams. These technologies have many applications including security, authentication, user interaction, etc. Using powerful libraries and frameworks, developers can implement efficient face detection and recognition capabilities in their Android apps. Using powerful libraries and frameworks, developers can seamlessly integrate these capabilities, enhancing the user experience and extending the functionality of their applications.While there are challenges, the benefits and potential applications make this an exciting and valuable area of ​​mobile development. In this training course, by using the high power of Java and Kotlin, you will create applications that will be able to recognize faces. This comprehensive course will enable you to seamlessly integrate facial recognition and recognition into your Android apps and harness the power of live camera images and videos. This training course is recommended for beginner Android developers who want to build Android applications based on facial recognition and recognition, and anyone who wants to build smart Android applications based on facial recognition and recognition in Java and Kotlin.

Instructor

S

Senior Industry Specialist

Specialist in IT Certifications & Professional Skills

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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