This project focuses on the detection of oil spills on the sea surface using Sentinel-1 Synthetic Aperture Radar (SAR) satellite images, processed through MATLAB. The SAR images are analyzed to identify potential oil spill patterns based on their distinct textural and radiometric characteristics. Upon detection, the system transmits a signal (e.g., 'A' or 'B') to an Arduino microcontroller, which then activates a buzzer and displays the status on an LCD screen for real-time alerting. Additionally, the system integrates a GPS module to capture the exact location of the detected spill and uses a GSM module to send this location information to a predefined recipient. This integration of remote sensing, image processing, and embedded communication technologies enables efficient and timely monitoring and reporting of marine oil pollution.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Hardware requirements:
- Arduino UNO
- LCD
- Buzzer
- Gps
- Gsm
Software requirements:
- Embedded C
- Arduino IDE