Optimizing Solar Panel Efficiency with Machine Learning-Powered Cleaning Robots

Year : 2024 | Volume :01 | Issue : 02 | Page : 14-19
By

Akror Kavchat

Uddhav Sategay

Rushikesh Walke

Komal More

Dr. Bhausaheb E. Shinde

  1. Student Dept. of Electronics and Telecommunication Engineering, Dhole Patil College Of Engineering, Pune Maharashtra India
  2. Student Dept. of Electronics and Telecommunication Engineering, Dhole Patil College Of Engineering, Pune Maharashtra India
  3. Student Dept. of Electronics and Telecommunication Engineering, Dhole Patil College Of Engineering, Pune Maharashtra India
  4. Student Dept. of Electronics and Telecommunication Engineering, Dhole Patil College Of Engineering, Pune Maharashtra India
  5. Associate Professor Dept. of Electronics and Telecommunication Engineering, Dhole Patil College Of Engineering, Pune Maharashtra India

Abstract

Because of advancements in technology, scientists are focusing more on robots to make human existence better. IEEE Standard 1621, IEEE Standard for User Interface Elements in Power Control of Electronic Devices Employed in Office/Consumer Environments, is being used in this work to create a solar floor cleaning robot prototype through design and development. The subject robot can function in both autonomous and manual modes, in addition to other features including scheduling for a specific amount of time and a bagless dirt container with an automatic dirt disposal mechanism. The human lifestyle could be greatly improved by this work. Modern homes are becoming more intelligent and automated. People have more spare time and a more convenient existence thanks to home automation. Even though the market is still young and developing, domestic robots are becoming more common in homes and in people’s daily lives. However, a surge is expected, and domestic robot usage is evolving.

Keywords: Motors, Raspberry pi, Bluetooth, Ultrasonic sensors, Robotic, Floor cleaners, Automated Cleaners

[This article belongs to International Journal of Optical Innovations & Research(ijoir)]

How to cite this article: Akror Kavchat, Uddhav Sategay, Rushikesh Walke, Komal More, Dr. Bhausaheb E. Shinde. Optimizing Solar Panel Efficiency with Machine Learning-Powered Cleaning Robots. International Journal of Optical Innovations & Research. 2024; 01(02):14-19.
How to cite this URL: Akror Kavchat, Uddhav Sategay, Rushikesh Walke, Komal More, Dr. Bhausaheb E. Shinde. Optimizing Solar Panel Efficiency with Machine Learning-Powered Cleaning Robots. International Journal of Optical Innovations & Research. 2024; 01(02):14-19. Available from: https://journals.stmjournals.com/ijoir/article=2024/view=145872




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Regular Issue Subscription Review Article
Volume 01
Issue 02
Received January 16, 2024
Accepted March 19, 2024
Published May 13, 2024