Visual recognition of fastening bolts for railroad maintenance

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.