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2023 | OriginalPaper | Buchkapitel

Surveillance of Robotic Boat Using Iot and Image Processing

verfasst von : S. Suganyadevi, D. Shamia, V. Seethalakshmi, K. Balasamy, K. Sathya

Erschienen in: Artificial Intelligence in IoT and Cyborgization

Verlag: Springer Nature Singapore

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Abstract

Fishing is one of the main wellsprings of food and pay for practically all beach front terrains regardless of its geographical area in the earth. Since it plays a significant part to play in the Economy, adjoining nations having similar seas every now and again participate in questions with respect to responsibility for region. This has brought about issues for the anglers’ local area dwelling in the beach front districts of these nations. The angler’s intersection the boundaries and distinguishing proof of areas in the ocean is turning into a troublesome errand with existing gear give to the angler’s subsequently they cross the lines. In our everyday life, we catch wind of numerous Fishermen from tamilnadu being gotten and situate in Sri Lankan Navy guardianship. The ocean line among the nations isn’t effectively recognizable, which is the fundamental justification behind this offense. Besides, in instances of impending cataclysmic events, disappointment or postpone in telling concerned work force to empty outcomes in death toll for a huge scope. In this section, proposed a strategy that safeguards the anglers by logging their entrances and exits in the harbor utilizing an implanted framework, telling the country’s ocean line to them by utilizing the GPS and IOT. When they knowingly tries to cross the border the boat will automatically control the direction and come back to safe zone. Sharks are the fish, which will hit the fisher boats sometimes which puts the fishermen in a risky situation on the sea. Here shark detection system has developed with the help of image processing technology which will save the life of fishermen from shark attack.

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Metadaten
Titel
Surveillance of Robotic Boat Using Iot and Image Processing
verfasst von
S. Suganyadevi
D. Shamia
V. Seethalakshmi
K. Balasamy
K. Sathya
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-4303-6_6

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