proactive early-warning system that integrates deep learning with existing traffic camera networks. By continuously feeding live images into the classifier, the system detects hazardous smog levels. This output can be used to instantly alert human drivers allowing them to automatically adjust before encountering the hazard.
project pytorch udacity-nanodegree udacity-deep-learning udacity-projects cnn-classification pytorch-cnn pysyft secure-and-private-ai smog-detection smog-classification smogdetection
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Updated
Nov 1, 2019 - Jupyter Notebook