Track: Automation and Control

Abstract

An autonomous boat with vision ability provides distinct and immeasurable benefit to mankind. This research is to further study the development of the autonomous boat for underwater surveillance. The study's primary goal is to implement image processing on the autonomous boat. By using a single vision system on a boat, complemented by some algorithms and coding, many data can be obtained from the image processing. In this endeavor, the focus will be on analyzing the use of single vision cameras in providing data for research on environmental front underwater and detecting depth and obstacles for better navigation. The system can disclose solid objects underwater for restoration and cleaning purposes in the lake or rivers. Furthermore, it can identify lost object underwater and detect obstacles in front. In addition, it can provide depth information of a lake or river providing with correct algorithm and technique. The outcome is precise enough to recognize snags or ‎objects above and underneath the water considering ‎the diffraction of light required for impeccable vision. In this ‎research, Open CV library is utilized for advanced picture ‎processing and shading highlight investigation instead of ‎MATLAB because of the multifaceted nature for ongoing procedure. The ‎design structure is for the most part dependent on Pontoon style on the grounds that ‎it is progressively steady and solid particularly on the stream wave ‎condition. ‎Through this paper also, all the mechanical structure is simulated using the Catia V5 Edition software and the real time coordinate points is also captured using a global positioning system receiver. All above, additional sensors and actuators are implemented in this project for further improvement of this current design.