Followb1ind1y/Distracted-Driver-Detection-Project

State Farm Distracted Driver Detection Project using PyTorch

28
/ 100
Experimental

This project helps automotive safety analysts or insurance risk assessors automatically identify distracted driving behaviors from dashboard camera images. It takes raw 2D dashboard camera photos as input and classifies the driver's activity, such as safe driving, texting, or drinking, providing a likelihood score for each behavior. The output is a categorization of driver behavior, useful for flagging risky situations or improving driver coaching programs.

No commits in the last 6 months.

Use this if you need to automatically detect and classify distracted driving behaviors from dashboard camera footage to improve road safety or insurance risk assessment.

Not ideal if you require real-time, in-vehicle driver assistance systems or need to analyze behaviors not covered by the ten pre-defined distraction categories.

driver-safety automotive-risk-assessment fleet-management insurance-underwriting traffic-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

10

Forks

1

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Mar 20, 2023

Commits (30d)

0

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