🛡️ Motion Detection Security System using Raspberry Pi & OpenCV

A real-time motion detection security system built using Raspberry Pi, OpenCV, and GPIO-based alerts. The system continuously monitors live camera feed, detects motion, triggers LED & buzzer alerts, captures snapshots with timestamps, and logs intrusion events.

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📌 Project Overview

In modern environments, automated surveillance systems are essential for ensuring safety and security. This project implements a cost-effective IoT-based motion detection system suitable for:

• 🏠 Home Security
• 🧪 Laboratories
• 🏢 Offices
• 🌐 IoT Surveillance Applications

Key Highlights

• Real-time motion detection
• Visual & audible alerts
• Snapshot capture with timestamp
• Event logging
• Continuous live monitoring

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🧠 System Architecture

Block Diagram (Logical Flow)

USB / Pi Camera
      ↓
Raspberry Pi (OpenCV Processing)
      ↓
Motion Detection Algorithm
      ↓
GPIO Control
 ├── LED Alert
 └── Buzzer Alert
      ↓
Snapshot + Event Logging

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🔧 Hardware Components Used

Component	Description
Raspberry Pi 4	Main processing unit with GPIO support
USB Camera / Pi Camera	Captures real-time video feed
LED	Visual alert on motion detection
Active Buzzer	Audible alert
Breadboard	Prototyping
Jumper Wires	GPIO connections
Resistor (330Ω–1kΩ)	LED current protection
5V / 3A Power Supply	Stable power for Raspberry Pi

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🔌 GPIO Pin Configuration

Component	GPIO Pin	Physical Pin
LED	GPIO 18	Pin 12
Buzzer	GPIO 23	Pin 16
Ground	GND	Pin 6

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🛠️ Software Requirements

• Python 3
• OpenCV
• NumPy
• RPi.GPIO
• Raspberry Pi OS

Install Dependencies

sudo apt update
sudo apt install python3-opencv
pip3 install numpy RPi.GPIO

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📂 Project Structure

motion-detection-security-system/
│
├── motion_detection.py
├── motion_log.txt
├── motion_YYYYMMDD_HHMMSS.jpg
├── README.md

▶️ How to Run

python3 motion_detection.py

• Press Q to exit safely
• Ensure camera is connected before running

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📊 Results & Observations

• ✅ Accurate real-time motion detection
• 🚨 LED & buzzer trigger instantly
• 🖼️ Snapshots saved with timestamps
• 📝 Log file records all motion events
• 🔄 Automatically resets after motion stops

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🎯 Conclusion

This project successfully demonstrates a low-cost, real-time motion-based security system using open-source tools.

Achievements

✔ Real-time surveillance ✔ Automated alerts ✔ Event logging ✔ Continuous monitoring

Future Enhancements

• ☁️ Cloud storage integration
• 📱 Mobile notifications
• 🤖 AI-based person/object detection
• 🔔 Email / SMS alerts

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📽️ Demo Video

🎥 Project Demo: https://drive.google.com/file/d/1h7qn4-MFaGpqeZl8NiiY77qRt_y_N0_Z/view

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📚 References

• OpenCV Documentation — https://opencv.org
• Raspberry Pi Docs — https://www.raspberrypi.com/documentation/
• Python GPIO Documentation