🛡️# AI Security Camera & SMS Alert System #

An intelligent real-time surveillance system powered by AI, computer vision, and instant SMS notifications. This project uses Python and OpenCV to monitor live camera feeds, detect suspicious activity, and immediately send alerts to a registered mobile number.

Perfect for: 🏠 Home Security 🏢 Office Monitoring 🏪 Shops & Warehouses 🎓 Student Projects 🤖 AI & Computer Vision Learning

🚀 Features

✅ Real-time AI surveillance ✅ Motion & human detection using OpenCV ✅ Instant SMS alert system ✅ Live camera monitoring ✅ Mobile camera support ✅ Lightweight and fast execution ✅ Easy setup for beginners ✅ Compatible with Webcam & Android phones

🧠 Tech Stack Technology Purpose Python 🐍 Core programming language OpenCV 👁️ Computer vision & motion detection NumPy 🔢 Frame processing Requests 🌐 SMS API communication Git & GitHub 🔧 Version control 📂 Project Structure AI-Security-Camera-SMS/ │ ├── main.py # Main surveillance system ├── test.py # SMS API testing ├── requirements.txt # Dependencies ├── README.md # Project documentation ├── .gitignore │ ├── screenshots/ │ └── demo.png │ └── models/ └── AI model files ⚙️ Installation Guide 1️⃣ Clone the Repository git clone https://github.com/devv2308/ai-security-camera-sms.git 2️⃣ Navigate to Project Folder cd ai-security-camera-sms 3️⃣ Install Dependencies pip install -r requirements.txt 📦 Requirements

Create a requirements.txt file:

opencv-python numpy requests 🔍 How the System Works 📷 Camera Feed ↓ 🧠 AI/OpenCV Processing ↓ 🚨 Motion or Person Detection ↓ 📩 SMS Alert Triggered ↓ 📱 Notification Sent to User 📲 SMS Alert Example 🚨 SECURITY ALERT 🚨

Motion detected by AI Security Camera System.

⚠ Please check your surveillance feed immediately. ▶️ Run the Project python main.py 📱 Use Your Phone as a Wireless Camera

You can convert your Android phone into a live surveillance camera.

Recommended Apps 📷 DroidCam 📷 IP Webcam Setup Steps

1️⃣ Install the app on your phone 2️⃣ Connect phone & PC to the same WiFi 3️⃣ Start the camera server 4️⃣ Copy the IP stream URL 5️⃣ Add the URL inside OpenCV

Example:

cap = cv2.VideoCapture("http://192.168.1.5:8080/video") 😀 Face Recognition ☁️ Cloud Storage Integration 📡Message Alerts 🧠 Advanced AI Threat Detection 🎥 Multi-Camera Support 🤝 Contributing

Contributions, feature suggestions, and pull requests are welcome. Feel free to fork the project and improve it.

📄 License

This project is licensed under the MIT License.

👨‍💻 Developer

Dev 🚀 AI • Computer Vision • Security Systems • Automation