Application of machine learning in the analysis of surface quality – the detection the surface layer damage of the vehicle body / Nowakowski, Dominik, Aneta Gądek-Moszczak, Paweł Lempa // W: METAL ... więcej

Application of machine learning in the analysis of surface quality – the detection the surface layer damage of the vehicle body / Nowakowski, Dominik, Aneta Gądek-Moszczak, Paweł Lempa // W: METAL 2021 : 30th Anniversary International Conference on Metallurgy and Materials, Brno, Czech Republic, EU, May 26 - 28, 2021 : conference proceedings [Dokument elektroniczny] / TANGER Ltd. [et al.]. – Ostrawa : TANGER Ltd., 2021. – S. 864-869 : il. (w tym kolor.). – Tryb dostępu: https://www.confer.cz/metal/2021/read/4210-application-of-machine-learning-in-the-analysis-of-surface-quality-the-detection-the-surface-layer-damage-of-the-vehicle-body.pdf. – Bibliogr. 18 poz., Abstr. – doi: 10.37904/metal.2021.4210. – ISBN 978-80-87294-99-4

Assessment of the surface of the car’s element is an attempt to applythe image processing and machine learning methods for analysis of surface layer quality. In presented experiment set of the images ... więcej

Assessment of the surface of the car’s element is an attempt to applythe image processing and machine learning methods for analysis of surface layer quality. In presented experiment set of the images with damaged surface layer of vehicles were used to design and train CNN for detection of scratches. Proposed approach provides promising positive results, and proved that it is possible to performed automatic detection of damaged surface of the vehicle. This experiment shows that there is still a lot of fields of application the image recognition with machine learning methods.