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drivesafe.ai

Driver Risk Assessment using Dashcam Footage and Machine Learning

The DriveSafe model uses transfer learning on a pre-trained ResNet50 model to capture image features, and adds an Long Short-Term Memory layer (LSTM) to capture temporal data from video input.

The model takes in dashcam-like video footage and predicts what happens throughout the video according to these 4 categories: safe, collision, tailgating, weaving.


Resources

Official Documentation

Kaggle

GitHub

v4_plot


© 2024 James Yap

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