In addition, the team identified a more suitable reference material compatible with commercial piezoelectric sensors, facilitating a more consistent calibration process. Through experiments on cylindrical rods of different materials and lengths, our improved prototype was shown to outperform existing commercial systems in both accuracy and computational efficiency. As part of our commitment to transparency and open science, we are publishing the data analysed in this study along with the scripts used to process it. We invite the community to explore the results and use these resources in their own developments.

In the field of material characterisation, ensuring accurate and reliable measurements is essential, especially when using non-destructive acoustic techniques. In this work, carried out by the GranaSAT research team, we focus on improving an existing calibration strategy for wood characterisation tools. The study seeks to optimise the determination of Time-of-Flight (ToF), a key parameter for analysing the propagation of acoustic waves in materials such as wood. To do so, we implemented improvements in an algorithm based on the Akaike Information Criterion (AIC), which now uses intelligent adaptive windows capable of autonomously identifying the onset of acoustic waves. These optimisations reduce the need for human intervention, thus increasing the accuracy and repeatability of the measurements.