Laser-based imaging approach for nocturnal vessel detection in rivers.

Area of Science:

• Maritime safety
• Transportation engineering
• Optical sensing technology

Background:

• Inland waterway transportation is vital for riverine countries like Bangladesh.
• Current vessel monitoring systems are insufficient, leading to frequent accidents such as collisions and capsizing.
• These accidents result in significant loss of life and economic damage.

Purpose of the Study:

• To develop an effective system for enhancing safety in Bangladesh's inland waterway transportation, especially during nighttime.
• To propose a novel laser-based technology for real-time vessel tracking and collision avoidance.

Main Methods:

• A system utilizing laser technology for tracking host and surrounding vessels was proposed.
• Cameras were integrated for monitoring vessel movement.
• Image processing techniques were employed to analyze laser sphere diameter data for vessel identification.
• A real-time monitoring setup with automatic data updates for the control room was designed.

Main Results:

• The proposed system enables real-time tracking of vessels using laser detection and identification.
• Image processing of laser data allows for annotation and monitoring of vessel positions.
• The system provides a foundation for automated data updates and control room monitoring.

Conclusions:

• The developed laser-based system offers a promising solution for improving maritime safety in Bangladesh's inland waterways.
• Real-time tracking and monitoring capabilities can significantly reduce vessel collisions and related accidents.
• This technology has the potential to mitigate the physical and economic costs associated with maritime disasters.