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  KEYWORD

Diagnostics via edge AI data fusion

azienda 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