Artificial Intelligence
We blend Ensemble Learning & Modular Neural Networks to accurately predict Drone flight paths.
Ensemble Learning
We use a technique that combines the output from multiple models to improve the accuracy of aircraft trajectory predictions. This approach leverages the strengths of ensemble learning to achieve better performance than could be obtained from any single model alone.
Modular Neural Networks
MNNs are at the core of optimizing Metal Raptor's Real Time Drone Tracking. Quick, accurate predictors of future behavior based on historical data.
​
Connecting the Models
By leveraging ensemble learning's ability to improve prediction accuracy through the aggregation of multiple models - we enhance the predictive performance of our modular neural networks which are structured to handle complex, subdivided tasks.
​
AI & System Safety
To insure our machine learning methods optimize safety, recommendations for adjustments are run through multiple simulations prior to implementation in the live system. Human oversight ensures we always achieve accurate & constantly improving Real Time Drone tracking.
​
