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This a hand gesture detection project I worked on a lot of work went into this

Jupyter Notebook 61.87% Python 38.13%
detection-algorithm hand-detection pycharm python python-script

detection-project's Introduction

Detection-Project

This a hand gesture detection project I worked on a lot of work went into this With this project I created the two scripts using PyCharm (I do recommend using this program if possible). The file called "dataCollection.py" is for collecting data aslo known as the images for your project, I recommending about 200-300 images pressing "S" will save the images.

image_1660243257 442007 image_1660243433 8644469 image_1660243800 649204 image_1660243935 1299706

Once you have collected the images I do recommend running your pictures through "Teachable Machine" or any training method will work. The code "Test.py" is where you can try out the code for your self since everything has been trained and tested. Be sure to download everything as a zip folder. I have the "Demostration.mp4" as a demo for you to look at.

Learning Objective

Research in the field of hand gesture recognition focuses on identifying and following human hands in video. The objective is to advance the status of human computer interaction by enabling people to interact with user interfaces with their hands in a powerful and natural manner. Gesture recognition is a technology that reads and interprets hand gestures as orders using sensors. In the automotive sector, this capacity enables occupants to communicate with the car, often to operate the infotainment system without touching any screens or buttons. The goal is to have 5 gestures trained and tested using python.

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