Full Matrix
MatrixInsights: AI Enabled Signal Interpretation
Gaussian Processes and Uncertainty Quantification
Our AI system is at the forefront of characterising the integrity and status of your components. We use Gaussian processes to estimate defect sizes and shapes from the intricate ultrasonic data generated by our MatrixSense EMATs. This AI-driven technology also provides Uncertainty Quantification (UQ) on all system elements, allowing facility and operations managers to confidently make informed decisions about their processes.
The use of Gaussian processes ensures the accuracy and reliability of defect detection, while UQ provides a critical layer of information. With UQ information, you can have confidence in the results, understanding the level of certainty associated with the detected defects. This is essential in scenarios where safety and precision are paramount.
Our AI system empowers you with the ability to make informed decisions, enhancing the safety and efficiency of your operations.
Delivered in partnership with
digiLab
Digilab is an award winning scaleup, who’s ML platform enables companies like Full Matrix to punch above their weight by rapidly deploying cutting edge data science tools to new challenges. Digilab helps us rapidly develop our robust and traceable machine learning solutions for analysing and interpreting our complex ultrasonic signals.