AN AUTOMATIC BOAT GUARD SYSTEM USING SENSOR-BASED MONITORING AND AI-ASSISTED SENSOR FAULT DETECTION

Marine transportation continues to face significant safety challenges due to boat overloading, unexpected sinking, fire accidents, and delayed emergency response, particularly in small and medium-sized vessels. Many existing safety measures rely heavily on manual monitoring and periodic inspection for such ferry or water taxi and workboats, which may not be sufficient in dynamic and unpredictable marine environments. With increasing dependence on electronic sensing systems for safety monitoring, sensor reliability has also become a critical concern, as unnoticed sensor failures can lead to incorrect safety decisions. This paper addresses the need for a reliable and real-time boat safety solution that can continuously monitor hazardous conditions while ensuring the dependability of the sensing infrastructure itself. By emphasizing automated monitoring, timely alerting, and early identification of sensor malfunctions, the proposed approach aims to reduce accident risks, improve response time, and support preventive maintenance. The work highlights the importance of intelligent and dependable safety systems in modern marine applications to enhance passenger safety and minimize loss of life and property.