Blog post link: https://learnopencv.com/moving-object-detection-with-opencv/
Check out our FREE courses on OpenCV University: https://opencv.org/university/free-courses/

Welcome to LearnOpenCV! In this tutorial, we will build a web app that can detect home intruders using OpenCV and Gradio. You don't need advanced hardware; a basic computer or an edge device like Raspberry Pi will do just fine!

What you learn:
Set up your development environment and download the necessary starter code.
Using OpenCV for background subtraction and contour detection to identify moving objects.
Applying thresholding techniques and morphological operations to clean up the video output.
Creating selection borders around detected objects and saving the result.
Build a Gradio web app to deploy your intrusion detection model tool for real-time use.

Steps to follow:
Download the starter code by clicking on the item link in the description.
Follow along as we set up a video recording, perform background subtraction, and process video frames for intrusion detection.
Find out how to deploy your model in a web app with Gradio so it's accessible from anywhere.

Further learning:
Watch the videos referenced in this video:

Image Threshold in OpenCV – https://www.youtube.com/watch?vBA00xTv5-Z4

Contour detection with OpenCV – https://www.youtube.com/watch?vFKIn_UIsXy4

Reading and writing videos with OpenCV – https://www.youtube.com/watch?vkt2ygRlngN8

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Sources:
Join us – ️ On our blog – https://learnopencv.com we also share tutorials and code on topics like image processing, image classification, object detection, face detection, face recognition, YOLO, segmentation, pose estimation and much more using OpenCV ( Python/C), PyTorch and TensorFlow.

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#OpenCV #MovingObjectDetection #HomeSecurity #ComputerVision #Gradio #DIYSecurity #TechTutorial #IntruderDetection #LearnOpenCV #PythonProgramming #VideoProcessing #AI #TechInnovation #Coding

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