| KEYWORD |
Deep learning robot for interiors visual inspection
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