https://github.com/iotchulindrarai/motion_detection_using_javascript
created a motion detection algorithm that excels in sensitivity, capable of discerning even the most subtle changes in lighting and movement. It has been optimized to run swiftly on both desktop and mobile devices, ensuring a seamless user experience.
https://github.com/iotchulindrarai/motion_detection_using_javascript
chulindraproject fun funwithjavascript javascript jmayes motion-detection webcam-capture
Last synced: 7 months ago
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created a motion detection algorithm that excels in sensitivity, capable of discerning even the most subtle changes in lighting and movement. It has been optimized to run swiftly on both desktop and mobile devices, ensuring a seamless user experience.
- Host: GitHub
- URL: https://github.com/iotchulindrarai/motion_detection_using_javascript
- Owner: IotchulindraRai
- Created: 2023-09-30T18:49:36.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-30T21:15:18.000Z (about 2 years ago)
- Last Synced: 2025-02-10T20:13:43.551Z (8 months ago)
- Topics: chulindraproject, fun, funwithjavascript, javascript, jmayes, motion-detection, webcam-capture
- Language: JavaScript
- Homepage: https://motiondetectionusingjavascript.pages.dev/
- Size: 4.88 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Introducing A Simple and Lightweight Motion Detection Algorithm using Js
JS-Motion-Detection is a remarkable motion revealing algorithm designed for live webcam feeds. This ingenious algorithm boasts simplicity, speed, and lightness, with a minified size of just 531 bytes when compressed using the Google Closure compiler.
# Why JS-Motion-Detection?
Our primary goal was to create a motion detection algorithm that excels in sensitivity, capable of discerning even the most subtle changes in lighting and movement. It has been optimized to run swiftly on both desktop and mobile devices, ensuring a seamless user experience.
https://github.com/IotchulindraRai/Motion_detection_using_javascript/assets/87846923/22bf86f9-29e4-4ce1-a389-804cacc57575
# Seeing Is Believing
A picture may be worth a thousand words, but a GIF can be worth a thousand images. To witness the powerful output of JS-Motion-Detection in action
check out our live demo here: https://motiondetectionusingjavascript.pages.dev
# The Beauty of Simplicity
JS-Motion-Detection offers an elegant result: all static, non-moving pixels gracefully transition to a neutral grey color, while any alterations stand out as darker or lighter shades compared to the neutral grey. The larger the motion, the greater the contrast.
# More Than Just Pixels
While JS-Motion-Detection is primarily a visual tool for showcasing isolated movement, its potential goes beyond the surface. You can harness its output to highlight moving segments, but this would require additional coding. In essence, you could mark all "changed" pixels and then perform a "flood fill" operation to extract a bounding box.
Experience JS-Motion-Detection and uncover the beauty of motion in a simple and efficient manner. It's not just an algorithm; it's a visual journey into the world of motion detection.