This paper is published in Volume-7, Issue-4, 2021
Area
Renewable Energy
Author
Adnan M., Ashiq Ali Abdul Lathief, Sivadeep P. R., Akshay Ganga, Simi Raj
Org/Univ
Government Engineering College Barton Hill, Thiruvananthapuram, Kerala, India
Pub. Date
31 August, 2021
Paper ID
V7I4-1911
Publisher
Keywords
Image Processing, Raspberry Pi, Atmega328 Microcontroller, Polyurethane

Citationsacebook

IEEE
Adnan M., Ashiq Ali Abdul Lathief, Sivadeep P. R., Akshay Ganga, Simi Raj. Automatic dual-axis solar tracker system using Image Processing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Adnan M., Ashiq Ali Abdul Lathief, Sivadeep P. R., Akshay Ganga, Simi Raj (2021). Automatic dual-axis solar tracker system using Image Processing. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Adnan M., Ashiq Ali Abdul Lathief, Sivadeep P. R., Akshay Ganga, Simi Raj. "Automatic dual-axis solar tracker system using Image Processing." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

Solar energy is the most inexhaustible, renewable source of energy known to humanity. The energy extracted from photo-voltaic or any solar collector depends on solar irradiance. For maximum extraction of energy from the sun, the solar collector panel should always be normal to the incident radiation. Solar trackers move the solar collector to follow the sun’s path and keep the orientation of the solar collector at an optimal tilt angle. Solar tracking system improves substantially the energy efficiency of photo-voltaic panels. The aim of this project is to develop an Automatic Dual Axis Solar Tracker System with Image Processing in order to improve the efficiency of the solar panels.