Motion Alert on SMS with Image Capture Using ESP32 Cam

Project Overview

This report details a security system for monitoring a designated area. It utilizes an Arduino Nano as the central controller, an ESP32-CAM for image capture, a SIM800L GSM module for SMS notification, a PIR motion sensor for triggering alerts, and a 3.7V Li-Ion battery for power supply. Upon detecting motion, the system captures an image with the ESP32-CAM, sends an SMS alert to a predefined mobile number, and uploads the captured image with a timestamp to a Google Sheet.

Components

• Arduino Nano
• ESP32-CAM Module
• SIM800L GSM Module
• PIR Motion Sensor
• Jumper Wires
• Breadboard (Optional)
• TP4056 Li-Ion Battery Charging Module
• MT3608 Boost Converter (3.7V to 5V)
• 3.7V Li-Ion Battery
• SIM Card (for GSM Module)
• Google Sheet

System Functionality

1. Motion Detection: The PIR motion sensor continuously monitors the designated area. When motion is detected, the sensor sends a signal to the Arduino Nano.
2. Triggering Actions:
   • The Arduino Nano receives the signal from the motion sensor.
   • It triggers the ESP32-CAM to capture an image.
   • The Arduino Nano sends an SMS alert with a predefined message (e.g., “Motion detected!”) to the designated mobile number using the SIM800L GSM module.
3. Image Upload:
   • The ESP32-CAM captures an image upon receiving the trigger from the Arduino Nano.
   • The ESP32-CAM code uploads the captured image along with a timestamp to a designated Google Sheet.

Benefits

• Real-time Monitoring: The system provides real-time alerts and visual verification of motion detection events.
• Remote Notification: SMS alerts keep you informed about any activity in the monitored area, even when you’re not physically present.
• Data Logging: Captured images with timestamps are uploaded to a Google Sheet for easy access and record-keeping.
• Portable Design: Li-Ion battery operation makes the system portable and suitable for various locations.

Implementation

1. Hardware Connections:

• • Connect the motion sensor to the Arduino Nano according to the sensor’s datasheet.
  • Connect the ESP32-CAM, GSM module, and boost converter to the Arduino Nano, following their respective pinout diagrams.
  • Ensure proper connections between the battery, TP4056 charging module, MT3608 boost converter, and Arduino Nano.
• Software Development:
  • Develop the Arduino Nano code to:
    • Read the motion sensor signal.
    • Trigger the ESP32-CAM for image capture.
    • Send SMS alerts using the GSM library for the SIM800L module.
  • Develop the ESP32-CAM code to:
    • Capture an image upon receiving a trigger signal.
    • Utilize libraries like “WiFi” and “HTTPClient” to connect to Google Sheets API.
    • Upload the captured image with a timestamp to a designated Google Sheet.
• Google Sheet Setup:
  • Create a Google Sheet and configure it for receiving image data and timestamps.
  • Utilize Google Apps Script or a third-party library for ESP32-CAM to interact with the Google Sheets API.

Report Sections

• Introduction: Briefly describe the project’s purpose and functionalities.
• Components: List the hardware and software components used.
• System Design: Explain the system architecture, including hardware connections, power management with Li-Ion battery and boost converter, and data flow.
• Software Development: Provide an overview of the code functionalities for Arduino Nano and ESP32-CAM.
• Google Sheet Integration: Explain how the captured image and timestamp are uploaded to Google Sheets.
• Testing and Results: Describe the testing procedures and expected outcomes.
• Conclusion: Summarize the project’s achievements and potential applications.
• Future Improvements: Discuss potential enhancements and functionalities for the system.

Report Sections

• Introduction: Briefly describe the project’s purpose and functionalities.
• Components: List the hardware and software components used.
• System Design: Explain the system architecture, including hardware connections, power management with Li-Ion battery and boost converter, and data flow.
• Software Development: Provide an overview of the code functionalities for Arduino Nano and ESP32-CAM.
• Google Sheet Integration: Explain how the captured image and timestamp are uploaded to Google Sheets.
• Testing and Results: Describe the testing procedures and expected outcomes.
• Conclusion: Summarize the project’s achievements and potential applications.
• Future Improvements: Discuss potential enhancements and functionalities for the system.

Additional Considerations

• Power Management:
  • The MT3608 boost converter ensures the Arduino Nano receives a stable 5V supply.
  • Include low-power modes for the Arduino and ESP32-CAM in the code to optimize battery life.
• Security: Secure the GSM module communication with proper authentication and encryption techniques.
• User Interface: Consider developing a web interface or mobile app for real-time monitoring and system control (optional).