Research on Deep Learning Model of Fog Visibility Estimation Based on CNN

Visibility prediction is an important subject of transportation safety research. At present, traditional sensing technology based on fog visibility prediction has problems such as large errors, high prices, and single-point monitoring defects. This article extracts airport video surveillance videos and extracts Frame extraction pictures, import the convolutional neural network deep learning model to identify the selected pictures, and evaluate the accuracy of the model, and its prediction accuracy meets the requirements of visibility prediction.