| KEYWORD |
Mixed Reality for conveying defects information to production line operators
keywords AUGMENTED REALITY, HUMAN-MACHINE INTERFACES, INDUSTRY 5.0
Reference persons FABRIZIO LAMBERTI
External reference persons DAVIDE CALANDRA
Research Groups GR-09 - GRAphics and INtelligent Systems - GRAINS
Thesis type THESIS IN COLLAB. W/ A COMPANY
Description In modern production processes, the efficient detection and management of defects are critical for ensuring high-quality output and optimizing manufacturing operations. The advent of automation and advanced computer vision techniques has enabled the automatic detection of defects in real-time. However, conveying this vital information to production line operators in a clear, intuitive, and timely manner remains a challenge.
This thesis proposal aims to investigate the application of Mixed Reality (MR) as a means for conveying information regarding automatically detected defects to production line operators. The research will involve the integration of the output from computer vision algorithms and defect detection methodologies that have been already developed and experimented on a production line of Stellantis.
By utilizing MR technology, the proposed investigation seeks to overlay defect-related information, such as visual cues, guidance, and instructions, directly onto the physical production environment in real-time. This approach aims to enhance operators' situational awareness, enable rapid decision-making, and facilitate timely defect resolution.
The research collaboration will actively engage the industrial partner, ensuring the practicality and relevance of the findings. Moreover, the project will be in alignment with the overarching objectives of the MANAGE 5.0 project, funded by the Ministry of Enterprises and Made in Italy (MISE) and the National Recovery and Resilience Plan (PNRR).
See also http://grains.polito.it/work.php
Deadline 15/01/2025
PROPONI LA TUA CANDIDATURA