Face Detection in Scratch with the Help of AI

Apps used:

1. Scratch Lab – https://lab.scratch.mit.edu/

Introduction

Face detection has transitioned from being a complex task requiring significant computing power to an accessible feature, thanks to advancements in AI. This article explores how educators and students can leverage AI-driven face detection in Scratch to create fun and educational coding projects.

Understanding Face Detection

Face detection uses machine learning algorithms to identify faces within an image or video stream. This technology is now integrated into various devices, making it an excellent tool for teaching coding fundamentals in a visually engaging manner.

Scratch and the Face Sensing Extension

Scratch, a popular visual programming language for beginners, includes an experimental version with a Face Sensing Extension. This extension provides tools to detect facial features such as the nose, eyes, and mouth, allowing users to build interactive projects.

Getting Started

1. Access the experimental Scratch version at lab.scratch.mit.edu
2. Enable the Face Sensing Extension.
3. Load the webcam feed to start detecting face positions in the scene.

Creating a Face Filter Project

A simple and engaging activity involves building a face filter that follows facial movements.

Step 1: Detecting Facial Features

Use the Go To [Nose] block to align a sprite with a specific facial feature (e.g., the nose). This block updates the sprite’s position dynamically based on the webcam feed.

Step 2: Adding Visual Effects

Customize the sprite by:

• Editing its costume (e.g., replacing a cat sprite with a funny nose or mask).
• Using loops to ensure the sprite follows the face continuously.

Step 3: Adjusting Size and Tilt

To enhance realism:

• Use the Set Size to Face Size block to resize the sprite as the face moves closer or farther from the camera.
• Use the Point in Direction of Face Tilt block to match the sprite’s tilt to the face.

Enhancing the Project with Additional Elements

Expand the face filter by adding more sprites for eyes, mouth, or ears:

1. Duplicate the sprite for each feature.
2. Assign each sprite to a new feature (e.g., left eye, right eye).
3. Customize each sprite with unique costumes and effects.

Visual Effects

Add creative touches such as:

• Color Changes: Animate colors for a dynamic look.
• Rotations: Make sprites spin for a playful effect.
• Stop Motion Animation: Create an animated sequence by designing multiple costumes for a sprite.

Applications in Education

This project introduces students to:

• AI Concepts: Understanding face detection algorithms.
• Problem-Solving: Debugging and enhancing interactive elements.
• Creativity: Designing personalized masks and animations.

Conclusion

The Face Sensing Extension in Scratch offers an excellent opportunity to merge AI and programming education. By creating projects like face filters, students can learn coding skills while exploring innovative uses of technology. Encourage students to unleash their creativity and experiment with face detection to bring their ideas to life!