This paper presents a vision-based technique to automatically detect the absence of the fastening bolts that secure the rails to the sleepers. The images are pre-processed by using several combinations of WT and PCA methods.The final detecting system has been applied on a long sequence of real images showing a high reliability and robustness.

Visual Recognition of Fastening Bolts for Railroads Maintenance

PL Mazzeo;M Nitti;E Stella;A Distante
2004

Abstract

This paper presents a vision-based technique to automatically detect the absence of the fastening bolts that secure the rails to the sleepers. The images are pre-processed by using several combinations of WT and PCA methods.The final detecting system has been applied on a long sequence of real images showing a high reliability and robustness.
2004
Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari
Neural network
Object recognition
Principal component analysis
Wavelet transform
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/233945
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