Development of AUV for Data Acquisition in Underwater Environment

Abstract

In this project, we are designing and developing an acoustic unmanned vehicle to acquire images in the deep sea ocean environment for effective surveillance in a very low-cost manner, compared to the other models available in defense labs. Here, we are using a simple AUV that has been designed and implemented successfully for image acquisition. After the image acquisition is done, the AUV will be taken out from the underwater environment, and the data acquired during the movement of the vehicle will be retrieved. Then, the acquired image will be transferred to MATLAB for further processing. In this stage, the image will be enhanced using frequency domain-based image enhancement, as well as histograms, for cross verifying the performance of the image enhancement. The principal objective of enhancement is to process an image so that the result is more suitable than the original image for a specific application. Image enhancement processing methods fall into two broad categories: spatial domain methods and frequency domain methods, which are left to the end-user at the final stage.