IoT Based Fisherman Assistance for Boat

Abstract

An innovative Internet of Things (IoT) safety solution, the Fisherman Assistance System aims to lessen dangers encountered by fisherman when working at sea. Safety is of the utmost importance while fishing because of the unpredictability of the weather, the difficulty of communicating quickly, and the lack of proximity to help in an emergency. These problems are solved by this system, which combines several forms of sensor and communication technology into one small package. The system\'s construction relies on an ESP32 microcontroller, which permits wireless connectivity and real-time data processing. The air temperature and pressure are tracked using a BMP180 sensor, which offers valuable information about the surrounding environment. An essential feature in times of crisis, a GPS module keeps constant tabs on the boat\'s geographical position. If a fisherman were to go overboard or the boat were to become unstable, the MPU6050 accelerometer might pick it up. Furthermore, a float sensor may be used to determine whether the water level inside the boat is increasing, which might indicate potential issues with leaking or sinking. Both the local LCD panel and the distant Blynk IoT platform show all of the acquired data. The system notifies the user via their mobile app and sounds an alarm with a buzzer and LEDs in the event of an emergency, such as when it detects a fall, detects water incursion, or when the user manually activates the panic button. Because of this, critical situation awareness is guaranteed both aboard and remotely. Designed with small-scale fishers in mind, the suggested system is affordable, energy-efficient, and a breeze to set up. Improving the odds of prompt rescue and decreasing loss of life, it greatly promotes safety by offering real-time monitoring, rapid alarm systems, and position tracking.

Introduction

The text presents a Smart Fisherman Assistance System designed to improve the safety of small-scale fishermen working in remote and unpredictable marine environments. The system combines IoT, GPS, environmental sensors, motion detection, communication technologies, and emergency alerts to provide real-time monitoring and faster responses to dangerous situations.

Problem

Fishing is considered a high-risk occupation because fishermen may face:

• Sudden weather changes and storms.
• Boat capsizing or water leakage.
• Mechanical failures.
• Falls or abnormal boat movements.
• Entering unsafe maritime boundaries.
• Delays in rescue due to unreliable communication.

Traditional safety methods often lack continuous monitoring and rapid emergency communication.

Proposed System

The proposed system uses an ESP32 microcontroller as the main processing unit because of its low power consumption, built-in Wi-Fi, and processing capability.

Major components include:

• BMP180: Measures atmospheric pressure and temperature to help identify changing weather conditions.
• GPS module: Provides real-time latitude and longitude for tracking the boat.
• MPU6050: Detects acceleration, tilt, sudden movements, or possible falls/capsizing.
• Float sensor: Detects rising water levels inside the boat, indicating possible leakage or sinking.
• Panic button: Allows fishermen to manually trigger an emergency alert.
• LCD: Displays location, environmental conditions, and warning messages.
• LEDs and buzzer: Provide visual and audible emergency warnings.
• Wi-Fi/Blynk IoT platform: Enables remote monitoring and notifications.
• GSM module: Sends emergency SMS messages containing the alert type and GPS coordinates.

Working Method

The system continuously collects sensor information through the ESP32. The data is compared against predefined safety thresholds.

The main operating process is:

Sensors → ESP32 → Data Processing → Hazard Detection → Local Alarm → IoT/GSM Notification

If a dangerous condition is detected, such as excessive boat tilt, high internal water level, boundary violation, or manual panic-button activation, the system immediately activates alarms and sends the relevant information to remote users.

Key Safety Functions

1. Real-Time Location Tracking

The GPS continuously determines the boat's location. Coordinates are updated and transmitted so that fishermen can be monitored and located during emergencies.

2. Maritime Boundary Detection

Predefined coordinates representing safe fishing zones are stored in the microcontroller. The system compares the boat's current GPS position with these boundaries.

• Near the boundary → Warning stage
• Boundary crossed → Critical alert stage

The system uses the buzzer, LCD, and red LED to communicate the warning.

3. Emergency Alert System

When danger is detected, the system provides:

• Audible buzzer alerts.
• LED indications.
• LCD warning messages.
• Remote Blynk notifications.
• GSM-based SMS alerts containing GPS coordinates.

The panic button provides an additional manual method for requesting help.

4. Weather Monitoring

The BMP180 monitors atmospheric pressure and temperature. A sudden pressure decrease can indicate potentially dangerous weather conditions, allowing fishermen to receive early warnings.

Literature Review

Previous studies have demonstrated the usefulness of IoT and sensors for water-quality monitoring, aquaculture, environmental monitoring, and remote data collection. Systems using Arduino, Raspberry Pi, ESP32, cloud platforms, and various sensors have improved real-time monitoring and decision-making.

However, the proposed work differs by focusing specifically on fisherman safety, combining environmental monitoring, location tracking, motion detection, sinking detection, boundary monitoring, and emergency communication into one integrated system.

Conclusion

The Internet of Things (IoT) and sensor technologies are effectively used by the Fisherman Assistance System to enhance maritime safety. The device lessens dangers in fishing by offering real-time tracking, emergency notifications, and monitoring. It shows how inexpensive technology may improve safety measures in faraway places and save lives.

References

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Copyright

Copyright © 2026 P. Mahesh , P. Sanjana, A. Vyshnavi , Sasipriya , Mallikarjun . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.