The road condition has a major impact on car accidents and related casualties, specifically the presence of water on the road. Therefore, estimating the water's existence is an essential application in order to make the road safer. Nowadays, The Convolutional Neural Network (CNN) is introduced as one of the main solutions for image classification problems. Due to the fast improvement in deep learning and artificial intelligence, CNN found its position as one of the various classes of neural networks, which is often applied to analyze and process the image dataset. In this presented work, the CNN capabilities are used to implement a real-time condition classifier which seems an appropriate way to reduce the number of car accidents as well as aiding drivers to be aware of the surrounding environment while driving.