Flexible Automated Optical Inspection Architecture for Industry 4.0
Author:
Affiliation:
1. DIGIBELT Srl,Bologna,Italy
2. Informatics and Mathematics, University of Modena and Reggio,Department of Physics,Emilia,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10539362/10539375/10539523.pdf?arnumber=10539523
Reference19 articles.
1. Industry 4.0: Adoption challenges and benefits for SMEs;Masood;Computers in In-dustry,2020
2. Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges;Dalzochio;Computers in Industry,2020
3. A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs);Mittal;Journal of Manufacturing Systems,2018
4. Why We Need Automation Models: Handling Complexity in Industry 4.0 and the Internet of Things
5. Anomaly detection and classification in predictive maintenance tasks with zero initial training;Morselli;IoT,2021
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