Face Recognition and Detection In Flutter : 2024 Guide

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Course Features

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Duration

4.35 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

4.35 hours

Course Description

This course teaches how to integrate Face Recognition Models in Flutter apps for both images and live camera footage. Face recognition is used for security, monitoring employees, and marking attendance. The course covers Face Registration and Recognition, choosing or capturing images in Flutter, and using models like FaceNet and Mobile FaceNet for recognition. Real-time face recognition using live camera footage is also taught, along with using Tensorflow Lite for mobile ML models. After completing the course, students can integrate face recognition in Flutter apps, build authentication systems, and create security and attendance applications. The course is suitable for beginner, intermediate, and expert Flutter developers who want to enhance their skills and build smart applications using face recognition technology.

Course Overview

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Human Interaction

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Personlized Teaching

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

You should have Android Studio Installed On Your System

What You Will Learn

Build Face Recognition based Security and Attendance Systems

Use of FaceNet and Mobile FaceNet models in Flutter

Course Instructors

Muhammad Hamza Asif

Instructor

Instructor on Eduonix
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