Description:
Introducing our Hand Gesture Recognition Learning Kit, an engaging and educational product designed to help students learn the principles of computer vision and Arduino-based projects. This kit provides a hands-on experience in building a real-time hand gesture recognition system using a webcam, Python, and an Arduino with a single digit segment display.
Key Features:
Real-Time Hand Tracking: Utilize the power of the MediaPipe library in Python to perform real-time hand tracking and landmark detection using a webcam.
Finger Counting: Implement a finger counting algorithm based on hand landmarks to accurately count the number of raised fingers in a user's hand gesture.
Integration with Arduino: Connect the Arduino board to the computer and use serial communication to send the finger count from the Python script to the Arduino, which displays the count on a single digit segment display.
Interactive Learning: The Project offers an interactive and visual way for students to understand concepts related to computer vision, image processing, and microcontroller programming.
Customizable and Expandable: The codebase is well-documented and can be easily customized or extended for more advanced hand gesture recognition applications. Students can explore additional features and gestures, fostering creativity and innovation.
Target Audience:
This learning kit is designed for students and enthusiasts interested in computer vision, image processing, and Arduino-based projects. It serves as an excellent educational tool for those studying robotics, electronics, computer science, and related fields.
Skills Developed:
Python programming for computer vision applications.
Understanding and working with the MediaPipe library for hand tracking.
Arduino programming and interfacing with external components.
Serial communication between Python and Arduino.
Practical application of image processing techniques.
