Fishing industry is one of the most dangerous industries to work. Though fishing is a dangerous profession, many fishermen staunchly defend their independence. Indian Meteorological Department (IMD) periodically sends information regarding the weather conditions to ports through signals, ranging from 1 to 11. When the weather conditions are not normal, the flags will be raised by the port authorities to indicate various signal levels to alert the fishermen and public. Most of the fishermen ignore these signaling flags and take life risk to do fishing. It leads to motivation of the project “IMD Signaling-Based Automated Safety Aid System for Fishermen.” The main objective of this work is to ensure safety for fishermen by monitoring the warning flags issued by IMD. The warning flags are monitored by the Raspberry Pi which acts as the decision maker in the proposed system to take the necessary actions like sending warning notifications and locking of boat’s motor. The proposed system works in three modes, namely lock mode, notification mode, and rescue mode. If the warning flags are from signal 3 to signal 12 and if the ship is in the port, then the motor of the ship will be locked. If the warning flag is signal 1 or signal 2, the motor will be allowed to start and automatically a notification of the weather conditions will be sent to the registered fishermen using the cloud server with protocols like HTTP, MQTT, WebSocket, and SMTP.


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    Titel :

    IMD Signaling-Based Automated Safety Aid System for Fishermen


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Sivasubramanian, A. (Herausgeber:in) / Shastry, Prasad N. (Herausgeber:in) / Hong, Pua Chang (Herausgeber:in) / Avudaiammal, R. (Autor:in) / Jasmine Mystica, K. (Autor:in) / Raveendran, K. P. (Autor:in) / George, Renjith (Autor:in)

    Kongress:

    International Conference on Futuristic Communication and Network Technologies ; 2020 November 06, 2020 - November 07, 2020



    Erscheinungsdatum :

    2021-10-12


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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