Face recognition Baby

Version 1.0 0 Downloads 13 Views
Face recognition Baby
$10.00

Release Date: June 27, 2026

Category: AI Projects

Version: 1.0

File Size: N/A

Tags: TensorFlow Algorithm MTCNN FaceNet Python benchmark OpenCV TensorFlow for Face Recognition

Description

A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services. It works by pinpointing and measuring facial features from a given image 

Facial recognition systems have seen wider uses in recent times on smartphones and in other forms of technology, such as robotics. Because computerized facial recognition involves the measurement of a human's physiological characteristics, facial recognition systems are categorized as biometrics. Although the accuracy of facial recognition systems as a biometric technology is lower than iris recognition and fingerprint recognition, it is widely adopted due to its contactless process. 

You will create an electronic application for Android operating systems that use it by running the application and then review the camera directly, and the application will show a message in the name of the person after the comparison is made through deep learning that will be used by the TensorFlow library.

Key Features

Functional requirements

  • Access to camera
  • Capture Image
  • Display Results

Non-functional requirements

User-friendly.

  • Clear directions.
  • Can be used by any non-expert users, especially elderlies, after training them on the website.
  • No matter which web browser you use, the website is available with no additional plugins or downloads. Comprehensible

Technical Specifications

  • TensorFlow Algorithm
  • MTCNN
  • FaceNet
  • Python benchmark
  • OpenCV
  • TensorFlow for Face Recognition 

Installation Guide

1. Install Required Software

Before starting, make sure you have:

Android Studio (latest version)

Download from: https://developer.android.com/studio

JDK (Java Development Kit 8 or higher)

Usually included with Android Studio

Internet connection (for Gradle dependencies)

2. Extract the Project Files

If your project is in a ZIP or RAR file:

Extract it using WinRAR or 7-Zip

You will get a folder containing:

app/

gradle/

build.gradle

settings.gradle

3. Open Project in Android Studio

Open Android Studio

Click: Open an Existing Project

Select the extracted project folder

Wait for Android Studio to load the project

4. Sync Gradle Files

After opening the project:

Android Studio will automatically start Gradle Sync

If not:

Click: File → Sync Project with Gradle Files

✔ This step downloads all required dependencies.

5. Fix SDK Issues (if any)

If you see SDK errors:

Go to: File → Settings → Appearance & Behavior → System Settings → Android SDK

Install:

Latest Android SDK

Build Tools

Platform Tools

6. Set Up Emulator or Device

Option A: Emulator

Go to Tools → Device Manager

Click Create Device

Select a phone model

Download a system image

Start the emulator

Option B: Real Device

Enable Developer Options

Turn on USB Debugging

Connect via USB cable

7. Run the Project

Click the Run ▶ button

Choose emulator or connected device

Wait for build process to complete

✔ The app will launch on the device

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