s1upee/vehicle-performance
This project simulates vehicle sensor data for performance analysis and anomaly detection.
This tool helps vehicle operations managers and fleet supervisors monitor vehicle health and performance. It takes in vehicle sensor data like acceleration, braking force, and steering angle, then identifies unusual patterns that might indicate a problem. The output is a real-time dashboard and plots highlighting these anomalies, enabling quick identification of potential issues.
No commits in the last 6 months.
Use this if you need to continuously monitor vehicle sensor data for unusual behavior and visualize these anomalies in an interactive dashboard.
Not ideal if you require deep learning models for time-series anomaly detection or need to integrate GPS and sensor fusion data for spatial anomaly detection.
Stars
12
Forks
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 10, 2025
Commits (30d)
0
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