AUTOMATED CLOTHESLINE RETRIEVAL SYSTEM: MONITORING THE SYSTEM USING BLYNK APPLICATION

Authors

  • S. F. Sulaiman Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka
  • M. D. A. Sabri Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka
  • K. Osman Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka.
  • S. I. Samsudin Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka.
  • N. A. Sulaiman Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka.
  • K. N. Khamil Centre for Telecommunication Research and Innovation (CeTRI), Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka.

Abstract


A conventional clothesline retrieval system relies on manual intervention for promptly collecting laundry, lacking the automated features and smart functionalities of modern innovations, making it lack the convenience of modern automation. This project addresses a prominent issue with such systems: the need for manual intervention to collect laundry before rain. This inconvenience prompted the development of an innovative clothesline with automatic movement and smart features. The system employs Direct Current (DC) geared motors, which respond to external weather conditions via a rain sensor connected to NodeMCU. This NodeMCU establishes connectivity with a home Wi-Fi network and Blynk server, enabling real-time rainfall monitoring and push notifications based on weather conditions. The results are impressive, with the clothesline moving automatically to shelter when rain is detected and back out when it subsides. Users receive timely alerts for both rainy and sunny conditions. This advanced system greatly enhances household laundry routines, offering significant benefits in residential areas.

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Published

2023-12-31

How to Cite

SULAIMAN, S. F., M. D. A. Sabri, K. Osman, S. I. Samsudin, N. A. Sulaiman, & K. N. Khamil. (2023). AUTOMATED CLOTHESLINE RETRIEVAL SYSTEM: MONITORING THE SYSTEM USING BLYNK APPLICATION. Journal of Engineering and Technology (JET), 14(2). Retrieved from https://jet.utem.edu.my/jet/article/view/6402

Issue

Vol. 14 No. 2 (2023): JOURNAL OF ENGINEERING AND TECHNOLOGY

Section

Articles

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Copyright (c) 2023 Journal of Engineering and Technology (JET)

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