Development and Implementation of AUV for Data Acquisition and Image Enhancement
Manu D K1, P Karthik2

1Manu D K*, Research Scholar, Department of ECE, K S School of Engineering and Management, Bengaluru, India.
2P Karthik, Professor, Department of ECE, K S School of Engineering and Management, Bengaluru, Karnataka, India.

Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 2088-2093 | Volume-9 Issue-4, April 2020. | Retrieval Number: D9126049420/2020©BEIESP | DOI: 10.35940/ijeat.D9126.049420
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Acoustic Unmanned Vehicle, Canny Edge Detection, LabVIEW.