An Approach Towards Rain Detection Through Deep Learning and Lightweight Embedded Systems

Weather monitoring technology has evolved in recent times but there still exist areas where advancements can be made. One such area that has shown remarkable growth and progress is the use of deep learning models for rain detection through image processing. Traditional rain detection systems are often bulky, expensive, and demand manual intervention. However, with the latest developments in embedded lightweight deep learning, it is now possible to revolutionize weather monitoring. This research study intends to explore the use of embedded lightweight deep learning approach for rain detection and alert systems. Additionally, the system will discuss the benefits of this technology over conventional rain detection systems, including improved accuracy, efficiency, and cost- effectiveness.