DETECTION AND EXTRACTION OF SEA MINES USING CNN

Sheethal S; Kiran G; Soundarya S; Vidhisha V

DETECTION AND EXTRACTION OF SEA MINES USING CNN

June 2022

Vol-8, Issue-3

Paper ID: 17637

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Science and Engineering

Keywords

FRCNN Neural network Image processing Deep Learning ResNet TensorFlow Python

Abstract

The Conventional worry of navel asset is naval mines; these mines are stationary and were planted during war times and now they have been working as a threat to naval ships, and submarines. Detection of those naval mines has been one of the foremost risk-taking tasks, with modern technology various techniques are wont to detect these mines Using Ultrasonic signals, Symbolic pattern analysis of side-scan sonar images but detection through image processing has been one of the most challenging and efficient ones since it can solve the real-time problem with less error, the image classification model like uses FRCNN(Fast Region Convolutional Neural Network) algorithm to classify the objects as mine or not. The cloud platform is employed to watch the mine and as soon as the changes are observed the Android application will reflect the changes.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Sheethal S	Vidyavardhaka College of Engineering
2	Kiran G	Vidyavardhaka College of Engineering
3	Soundarya S	Vidyavardhaka College of Engineering
4	Vidhisha V	Vidyavardhaka College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style

S, Sheethal, G, Kiran, S, Soundarya, & V, Vidhisha (2022). DETECTION AND EXTRACTION OF SEA MINES USING CNN. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 5487-5495.

MLA Style

S, Sheethal, et al. "DETECTION AND EXTRACTION OF SEA MINES USING CNN." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 5487-5495.

IEEE Style

Sheethal S, Kiran G, Soundarya S, and Vidhisha V, "DETECTION AND EXTRACTION OF SEA MINES USING CNN," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 5487-5495, 2022.

Vancouver Style

S Sheethal, G Kiran, S Soundarya, V Vidhisha. DETECTION AND EXTRACTION OF SEA MINES USING CNN. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):5487-5495.

Harvard Style

S, Sheethal, G, Kiran, S, Soundarya, & V, Vidhisha (2022) 'DETECTION AND EXTRACTION OF SEA MINES USING CNN', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 5487-5495.

Chicago Style

S, Sheethal, et al. "DETECTION AND EXTRACTION OF SEA MINES USING CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5487-5495.

Turabian Style

S, Sheethal, et al. "DETECTION AND EXTRACTION OF SEA MINES USING CNN." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5487-5495.