Detect Home Intruders with OpenCV and Gradio

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Welcome to LearnOpenCV! In this tutorial, we're going to 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’ll Learn:
Setting up your development environment and downloading 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 bounding boxes around detected objects and saving the result.
Building a Gradio web app to deploy your intruder detection model tool for real-time use.
Steps to Follow:
Download the starter code by clicking on the article link in the description.
Follow along as we set up a video capture, perform background subtraction, and process video frames for intruder detection.
See how to deploy your model on a web app using Gradio, making it accessible from anywhere.
📘 Further Learning:
Check out the videos that been referenced in this video:
Image Thresholding in OpenCV - • Image Thresholding in ...
Contour Detection Using OpenCV - • Contour Detection usin...
Reading & Writing Videos Using OpenCV - • Reading and Writing Vi...
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[@sosome1]

Thank you for posting this great tutorial. I was looking for it for quite a while. I am looking for a board to place inside my car. I want to use realtime object detection to recognise whenever a certain type of car is passing by in front of my car. And I want the board to notify me by 4g/lte sms( no wifi connection so i have to add a gsm/lte/4g module I am looking at 2 boards: 1. Raspberry pi 5 8Gb with Google Coral USB Accelerator 2. Google Coral Dev Board 4Gb Which one is the best option?

[@LearnOpenCV]

1 st one would be better option as it's more expandable.

[@RonalRomeroVergel]

i thought it was in real time....

[@LearnOpenCV]

The app displays the output after every 24 frames. That's why it looks jittery.