Revolutionize data analysis with Jarvis Data Tool

Managing data during tests and races requires a significant investment of resources and time without the guarantee of “not missing anything”: Jarvis Data Tool is a software framework that monitors in real time the quality of live data or recorded data during tests and races, displaying indicators and metrics to verify its reliability and consistency.
In addition to providing a simple and effective interface for the setup and monitoring of large amounts of data, Jarvis Data Tool automatically verifies the completeness, coherence, and correctness of acquisitions, both individually and through the correlation of multiple signals.
Thanks to artificial intelligence technologies, Jarvis Data Tool is able to learn and adapt to the user’s needs, generating automatic reports that highlight the status of the acquisition system, the data update frequency, any transmission errors, or potential criticalities.
The system goes beyond data control, thanks to its plugins, it can estimate the vehicle’s state using virtual sensors, surrogate models, and advanced analyses already available, or directly integrate functionalities developed by users.
Some examples of using Jarvis Data Tool include: identifying NaN or freeze values, verifying IMU coherence, analyzing sensor peaks and noise, statistical and correlation analysis, up to detecting aliasing and anomalies via deep learning.