Towards Effective Categorization of Weather Images using Deep Convolutional Architecture
Sanjukta Goswami · 2020
In the era of Industry 4.0, when various industries are coming together to achieve commercial enterprise goals, factors like weather plays an important role in enterprise growth. Weather conditions not only influence our daily lives, but it's also a big factor in various industries like logistics, retails, construction, etc. Apart from that, it also influences the functionality of many visual systems, like vehicle assistance driving systems, outdoor video surveillance, etc. Foggy weather condition is a vital threat to car accidents. The effect of harsh weather conditions can also be seen in India. There are loads of research that has been going on in the field of `Weather Analytics' but it nevertheless wants a lot of research to follow artificial intelligence in this domain. This paper is presenting a precise work to fulfill the gap. The study investigates the applications of a deep learning algorithm (convolutional neural networks) in weather detection problems. The traditional ways of detecting weather conditions rely on expensive sensors. To minimize the cost, this work presents a computer vision approach to detect live weather condition.