ANR PICSONDE Project
– Self-mixing laser sensor
PICSONDE is developing a new generation of optical displacement and vibration sensors based on the principle of laser self-mixing. In this type of sensor, the light reflected by a moving object interferes with the laser itself: the light source becomes both an interferometer and a detector, capable of measuring nanometric displacements and mechanical vibrations.
The project combines integrated photonics and intelligent signal processing to design a compact, economical, and robust sensor.
The team’s contribution focuses on the use of lightweight neural networks to automatically estimate laser self-mixing parameters, ensuring accurate displacement measurement even when optical conditions vary.
The objective is to measure displacement and vibrations with very high resolution and low power consumption for applications such as experimental modal analysis and predictive maintenance.
Involved Researchers: Mathieu FEUILLOY, (Guy PLANTIER)
