oa A Systematic Literature Review, Research Challenges and Future Directions of Image Processing Algorithms in Solar Tracking System

Solar power is the primary renewable energy solution for alleviating power shortages in developing areas. Leveraging this energy faces constraints arising from specific environmental conditions. Challenges in solar tracking systems include maintaining accuracy under varying environmental conditions, such as changes in sunlight, weather, and shadows, and ensuring reliable performance while minimizing energy consumption and mechanical wear. To address these challenges, solar tracking technology is employed. Solar trackers are pivotal in optimizing power generation from photovoltaic panels, offering a range of drive types and control strategies to enhance efficiency. This review aims to explore various solar tracking systems to improve the efficiency of solar power generation. This review compares the tracking approaches, performance, merits, and demerits of different tracking systems. Additionally, this review presents and categorizes various types of solar tracking systems according to the technologies and methods of operation.  Moreover, this review focuses primarily on image processing-based solar tracking systems. Utilizing image processing technology in solar tracking systems provides innovative approaches to enhance energy generation from photovoltaic panels. The application of image processing techniques in solar tracking offers innovative avenues to augment energy generation from photovoltaic panels. These techniques enable precise detection of the sun's position, even under challenging environmental conditions, ultimately enhancing efficiency and reliability.