| KEYWORD |
Microelectronics
Diagnostics via edge AI data fusion
Thesis in external company
keywords IMAGE ANALYSIS, MACHINE LEARNING
Reference persons LUCIANO LAVAGNO
External reference persons Marcello Babbi, Reply Torino
Research Groups Microelectronics
Thesis type APPLIED RESEARCH
Description The goal of the thesis is to perform multi-signal anomaly detection for electric motor vibration faults
Thesis activities:
- state of the art literature review
- model development
- performance optimization
- two-stage classification machine learning model
Required skills Python programming, some knowledge of Machine Learning
Useful knowledge: C/C++, Tensorflow, Pytorch, embedded programming, edge device optimization, ONNX runtime
Deadline 27/09/2025
PROPONI LA TUA CANDIDATURA