https://github.com/mdazfar2/motion-detector
Ever wished you could have eyes on your space even when you're not there? Our Motion Detection Python program makes it possible! This open-source project is designed to detect motion and record time intervals, providing a powerful surveillance and analysis tool at your fingertips.
https://github.com/mdazfar2/motion-detector
hacktoberfest hacktoberfest-accepted
Last synced: over 1 year ago
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Ever wished you could have eyes on your space even when you're not there? Our Motion Detection Python program makes it possible! This open-source project is designed to detect motion and record time intervals, providing a powerful surveillance and analysis tool at your fingertips.
- Host: GitHub
- URL: https://github.com/mdazfar2/motion-detector
- Owner: mdazfar2
- Created: 2023-09-22T18:35:23.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-03-18T19:48:19.000Z (over 2 years ago)
- Last Synced: 2025-02-12T06:57:16.865Z (over 1 year ago)
- Topics: hacktoberfest, hacktoberfest-accepted
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Motion Detection with Python 📷🚀
Turn your computer into a vigilant digital guardian with our Motion Detection Python project! 🌟
# Introduction
Ever wished you could have eyes on your space even when you're not there? Our Motion Detection Python program makes it possible! This open-source project is designed to detect motion and record time intervals, providing a powerful surveillance and analysis tool at your fingertips..
# Requirements
Python 3 🐍
OpenCV (libraries) 📸
Pandas (libraries) 🐼
# What to Expect
Upon running the code, you'll be greeted with a visual feast of real-time analysis:
**Gray Frame:** Witness the world in grayscale, where motion stands out against the background, thanks to the intensity difference calculation. 🎨📹
**Difference Frame:** See changes in intensity from the first frame to the current frame, clearly highlighting any motion. 🔄🌆
**Threshold Frame:** Pixels above a defined intensity difference threshold are marked white, making motion detection a breeze. ⚪⚫
**Color Frame:** Experience the action in full color, complete with green contours around moving objects for added visibility. 🌈🔍
# Versatile Applications
Whether you're securing your home, conducting research, or exploring the world of computer vision, our Motion Detection project is your versatile companion. The potential uses are limited only by your imagination! 🏡🔬🤖..
🌐 **Connect with Me**
- [LinkedIn](www.linkedin.com/in/md-azfar-alam)
Happy coding! 😃✨