Brightness Control With Hand Detection OpenCV Python

Brightness Control With Hand Detection OpenCV Python – The screen-brightness-control library is used to control the screen’s brightness.

There is only one class and a few functions in the screen-brightness-control library.

Brightness Control With Hand Detection In Python: Project Details and Technology

Project Name:Brightness Control With Hand Detection Project In Python With Source Code
Abstract Brightness Control With Hand Detection Python OpenCV – The screen-brightness-control library is used to control the screen’s brightness
Language/s Used:Python Deep Learning
Python version (Recommended):3.8/3.9
Database:None
Type:Desktop Application
Developer:Source Code Hero
Updates:0

Brightness Control With Hand Detection OpenCV Python: About the project

This Brightness Control With Hand Detection OpenCV Python With Source Code was created with Python OpenCV. In this Python OpenCV Project With Source Code, we will build a Brightness Controller with OpenCV to control the computer’s brightness.

Building a Brightness Controller with OpenCV can be accomplished in just 3 simple steps:

  • Step 1. Detect Hand landmarks
  • Step 2. Calculate the distance between the thumb tip and index fingertip.
  • Step 3. Map the distance of the thumb tip and index fingertip with volume range. In my case, the distance between thumb tip and index fingertip was within the range of 15 – 220 and the volume range was from 0 – 100.

This Brightness Control With Hand Detection In Python also includes a downloadable Python Project With Source Code for free, just find the downloadable source code below and click to start downloading.

To start executing this project, make sure that you have installed Python on your computer.

Brightness Control With Hand Detection OpenCV Python Source Code: Steps on how to run the project

Time needed: 5 minutes

These are the steps on how to run Brightness Control With Hand Detection OpenCV Python Source Code

  • Step 1: Download Source Code

    First, download the provided source code below.
    brightness control download source code

  • Step 2: Extract File

    Next, after the download is finished extract the zip file.
    brightness control extract file

  • Step 3: Import the project to your PyCharm IDE.

    Next, import the source code you’ve downloaded to your PyCharm IDE.
    brightness control open project

  • Step 4: Install all Libraries.

    Next, install all libraries given below.
    brightness control import libraries

  • Step 5: Open cmd.

    Next, click the folder directory of the project and type cmd.
    brightness control open cmd

  • Step 6: Run Project.

    Lastly, run the project with the command “py main.py”
    brightness control run project

Download the Source Code below

Summary

Gesture recognition helps computers to understand human body language.

This helps to build a more potent link between humans and machines, rather than just the basic text user interfaces or graphical user interfaces (GUIs).

In this project for gesture recognition, the human body’s motions are read by a computer camera.

The computer then makes use of this data as input to handle applications.

This Python OpenCV Project also includes a downloadable source code for free.

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Inquiries

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