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Area Engineering

Deep learning robot for interiors visual inspection

azienda Thesis in external company    


keywords MEASURING ROBOT

Reference persons DARIO ANTONELLI, GIACOMO MACULOTTI

External reference persons Federico Conoscenti (ALSTOM)

Research Groups Quality Engineering and Management Group

Thesis type SPERIMENTAL APPLIED

Description Programming the robot for loading the control parameters (updating defect library, acceptability criteria, etc...)
Interface with competent bodies for the integration of Alstom online systems (reporting)
Output data analysis of inspections for opening defects
Data analysis for process capability
Validation and verification of the forecast business case
Active participation in the testing and validation of the vision/inspection system.
Acquisition of technical skills on regional train products
Wide-ranging involvement in the development of the robot with the manufacturer, up to commissioning.

Required skills Siemens Process simulate
CATIA V5


Deadline 31/12/2024      PROPONI LA TUA CANDIDATURA