Abstract
In our proposed work, the developed Acoustic Unmanned Vehicle(AUV) moves in the direction of up/down. In general AUV is mainly used to for visual observation of the underwater environment by using a web camera. The acquired data from the AUV was preprocessed and the same image used for enhancement.. In this project, the image enhancement alogrithms has been implemented and the same has been computed for Canny Edge Detection, Hue, Luma and Saturation. From these computed results, we are able to enhance the quality of images for the conditions like low depth, low light intensity and color contrasting has been achieved using LABVIEW.
Highlights
IntroductionThe main aim of the project is to send a vehicle into the water and capture images in that water environment
The remotely worked vehicle (ROV) is kept in a tether management system (TMS) during lowering through splash zone
A communication framework is an assortment of individual correspondence systems, transmission framework normally fit for interconnection and between activity to shape a coordinated entirety
Summary
The main aim of the project is to send a vehicle into the water and capture images in that water environment. Acoustic Underwater Vehicle (AUV) is a ROV class tethered vehicle. They are mainly used for pipeline surveillance, deep-water exploring, as guide for deep divers, etc. They are linked to host ships where the controlling unit is present. The ROV is kept in a tether management system (TMS) during lowering through splash zone. The purpose of tether management system is used increase or decrease the length of cable , by doing this acoustic currents can be minimized. The purpose of AUV of this project is deep-water exploration
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
