UKSEDS Conference 2025, University of Leicester
Python Programming: Project-based Learning Tutorial
Flight Anomaly Detection for UAVs and Model Rockets with Machine Learning AI
Date: Sunday, 2nd of March 2025
Time (approximate): 12:10 to 13:30
Location: Workshop, Sir Bob Burgess Building, Welford Road, Leicester LE2 6BF
A hands-on workshop to master flight anomaly detection AI using the Isolation Forest method in Python. This powerful unsupervised machine learning algorithm excels at identifying anomalies in data through random partitioning within decision trees. Unlike traditional methods, Isolation Forest does not require labelled data, making it ideal for detecting unexpected behaviours in complex datasets. You'll detect anomalies in UAV GPS speed and airspeed data, learning to identify unexpected flight behaviours, and compare real and simulated rocket altitude data to spot deviations. Enhance your data preparation, machine learning, and visualisation skills to ensure safer, more efficient UAV and model rocket operations.
GDST Coding for STEM
contact us: n.buttigieg@enterprise.gdst.net