On-line conveyor belts inspection based on machine vision
Abstract
Under the background that mining conveyor belts are prone to failure in operation, the on-line fault detection technique based on machine vision for conveyor belts is investigated. High-brightness linear light sources arranged to a vaulted shape provide light for a line-array CCD camera to capture high-quality belt images. A fast image segmentation algorithm is proposed to deal belt images on-line. The algorithm for detecting longitudinal rip and belt deviation which are serious threat to the mine safety production from binary belt images is presented. Then, an on-line visual belt inspection system is developed. The laboratory testing results testify the validity of the visual inspection system.
- Publication:
-
Optik
- Pub Date:
- October 2014
- DOI:
- 10.1016/j.ijleo.2014.07.070
- Bibcode:
- 2014Optik.125.5803Y
- Keywords:
-
- Machine vision;
- CCD camera;
- Conveyor belt;
- Longitudinal rip;
- Ethernet