Build an AI Security Camera with Python | Sends Real-Time WhatsApp Alerts!
Ever wanted to build your own smart security system? In this tutorial, we'll create an AI-powered theft detection system from scratch using Python! Learn how to leverage the power of YOLOv8 for real-time person detection, define a secure zone with OpenCV, and automatically send instant WhatsApp alerts with an image of the event using Twilio.
This project is perfect for anyone interested in computer vision, AI, and building practical Python applications. I'll guide you through every line of code, from setting up the environment to deploying your system.
🤖 What you will learn in this video:
🔥Real-Time Object Detection: How to use the YOLOv8 model to detect people in a video stream.
🔥Region of Interest (ROI): How to define a specific area in the video feed to monitor for activity using OpenCV.
🔥State Logic: How to program the logic to determine when a person enters and exits the monitored zone.
🔥Automated Alerts: How to integrate the Twilio API to send WhatsApp messages instantly when a "theft" is detected.
🔥Image Handling: How to capture a screenshot of the event, upload it to a public URL, and send it with your alert.
🔥Complete Project Setup: Full walkthrough of the code, libraries, and dependencies you need to get started.
🔗 Project Code & Resources:
✅YOLOv8 by Ultralytics: https://github.com/ultralytics/ultral...
✅Twilio API: https://www.twilio.com/
✅OpenCV Library: https://opencv.org/
👋 About The Creator:
My name is Ammar Ali, and I'm passionate about building innovative solutions with AI and code. Let's connect!
💠LinkedIn: / mammarali
💠Portfolio: https://ammarali.lovable.app/
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