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๐Ÿ‘ค Human Face and ๐ŸŽฅ Object Detection using OpenCV

Python 67.77% Shell 0.01% HTML 0.97% C 1.52% C++ 0.01% JavaScript 28.07% CSS 0.01% Jupyter Notebook 0.79% Smarty 0.05% Fortran 0.01% Cython 0.80% Less 0.01%
opencv-python motion-detection face-detection computer-vision bokeh bokehplots webcam-motion-detector

webcam-motion-detector's Introduction

Webcam Motion Detector

  • Open Source Computer Vision based personal project to detect Human Faces and different objects coming in front of the webcam for a specific time frame.
  • Programming Language: Python
  • Libraries: OpenCV, Bokeh, Pandas
  • For Human Face detection I've used HaarCascade Classifier XML file created by OpenCV.

Overview of Project:


  • Before you execute the project, please cover your webcam and remove the cover once your webcam starts and you can see some video recording windows on your desktop.

  • You will see four different windows on your screen.

  • Color Frame: Which detects the different objects

  • Current Frame: Which detects the human face

  • Delta Frame*: Which compares the current situation the with the initial situation

  • Threshold frame* - for identification of an object

  • *not important for end-user

  • Try Like this...

  • At any moment if you want to stop, please press q

  • A motion graph will be generated and automatically your default browser will pop-up where you can see it like this...

How to run on your machine!! (Don't worry if you don't have Python installed, I've already taken care of it!)


  • Please download or clone this repo from here.
  • Extract the folder and reach to the root of the project, by using the command line.

MAC Users:

  • Write command venv/bin/python plotting.py

WINDOWS Users:

  • Virtual Environment for Windows user will be available soon.

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