Extended machine vision control capabilities using digital holography & artificial neural networks – HOLO-CONTROL
HOLO-CONTROL aims to explore multiscale sensitivity in the positioning of samples versus the six degrees of freedom (DoF) by digital holography to perform sub-voxel measurements in real-time. A key novelty of the project will be the incorporation of Artificial Intelligence (AI) harnessing Artificial Neural Network (ANN) architectures for advanced functionality. The instrumentation developed at the level of micro-positioning platforms in robotics requires translation and/or rotation stages according to several directions of space. The tasks associated with these devices are increasingly complex, and nanoscale positioning resolution is required while simultaneously maintaining a large-scale movements range beyond the centimeter range. The project will identify how to accelerate such advanced acquisition-methods to target real time applications. Applications addressed in the project include digital auto-focusing and micro-scale 6DoF position measurements of micro-objects.
Project coordination
Maxime Jacquot (INSTITUT FRANCHE-COMTE ELECTRONIQUE MECANIQUE THERMIQUE ET OPTIQUE - SCIENCES ET TECHNOLOGIES)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
FEMTO-ST INSTITUT FRANCHE-COMTE ELECTRONIQUE MECANIQUE THERMIQUE ET OPTIQUE - SCIENCES ET TECHNOLOGIES
FEMTO-ST INSTITUT FRANCHE-COMTE ELECTRONIQUE MECANIQUE THERMIQUE ET OPTIQUE - SCIENCES ET TECHNOLOGIES
FEMTO-ST INSTITUT FRANCHE-COMTE ELECTRONIQUE MECANIQUE THERMIQUE ET OPTIQUE - SCIENCES ET TECHNOLOGIES
Help of the ANR 360,640 euros
Beginning and duration of the scientific project:
October 2021
- 48 Months