🌾 IoT-Based Smart Scarecrow (Strawman’s Eye)

📌 Project Overview

IoT-Based Smart Scarecrow is an intelligent IoT-enabled crop protection system designed to monitor agricultural fields and prevent crop damage caused by animals or human intrusions.
The system combines motion detection, real-time image capture, and email notifications, offering farmers a reliable and automated surveillance solution.

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⚙️ Key Features

• 📸 ESP32-CAM Integration: Captures images in real-time and transmits them via Wi-Fi.
• 👁️ PIR Motion Sensor: Detects any motion in the field with high accuracy.
• 🔄 Servo Motor Mechanism: Rotates between 0°–180° for wide-area coverage.
• 📧 Email Alert System: Sends captured images to the farmer’s registered email via SMTP.
• 💡 Compact & Efficient: Low-cost, low-power solution ideal for agricultural applications.

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🧠 Working Principle

1. The PIR sensor detects motion in front of it.
2. The ESP32-CAM captures an image when motion is detected.
3. The servo motor sweeps from 0° to 180° to cover a larger area.
4. The captured image is sent to a registered email address via SMTP using Wi-Fi.
5. The system resets and continues surveillance for the next motion event.

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🔧 Hardware Components

• ESP32-CAM Module
• PIR Motion Sensor (HC-SR501)
• SG90 Servo Motor
• Jumper Wires
• 5V Power Supply Module
• Breadboard / PCB
• Protective Enclosure or Mount

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💻 Software Requirements

• Arduino IDE
• ESP32 Board Package
• Required Libraries:
  • ESP32_MailClient.h
  • Servo.h
  • WiFi.h

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🧩 Circuit Connections

Component	ESP32-CAM Pin
PIR Sensor Output	GPIO 13
Servo Signal	GPIO 12
VCC	5V
GND	GND

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🚀 System Operation

1. Upload the Arduino code to the ESP32-CAM using an FTDI programmer.
2. Connect to Wi-Fi and configure the SMTP email credentials.
3. Deploy the setup in the agricultural field.
4. Upon motion detection:
   • The servo motor scans the area.
   • The ESP32-CAM captures an image.
   • The image is sent automatically to the registered email inbox.
5. The system resets and continues monitoring.

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📫 Output

• Real-time motion detection
• Captured image sent via email
• Continuous 0°–180° scanning surveillance

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🧰 Technologies Used

ESP32-CAM • PIR Motion Sensor • Servo Motor • IoT • SMTP Email Automation

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🏁 Project Outcome

This project successfully demonstrates an IoT-based smart surveillance system that enhances crop security by detecting intrusions and alerting farmers remotely through real-time image emails.

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💡 Future Improvements

• 🌙 Add night vision capability using IR LEDs
• 📱 Integrate SMS or Telegram bot alerts
• ☀️ Use solar energy for sustainable operation

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👨‍💻 Author

Ram Axay
🎓 Electronics and Communication Engineering (ECE)
💼 IoT | Embedded Systems | Smart Agriculture Enthusiast

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