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Solar panel monitoring using a video frames mosaicing

Sara Lafkih, Youssef Zaz

Year
2016
Citations
8

Abstract

One of the most critical issues facing solar plants is to ensure an efficient monitoring of installations, such as localizing dust or broken panels. Filming with robots or drones is widely used, but it is difficult to exploit directly the captured videos. In order to facilitate the monitoring task, we propose a technique to prepare a large panoramic image view of the desired area from the captured video frames. In fact, an embedded system analyses the captured video sequence, and using a new approach of mosaicing technique based on SIFT, merges frames to prepare a panoramic image of a large solar plant area. The proposed technique facilitates the supervisor task to better locate where there are anomalies. The obtained experimental results, tested on a small solar installation, are promising.

Keywords

Computer scienceComputer visionDroneArtificial intelligenceExploitTask (project management)Scale-invariant feature transformSupervisorRobotFrame (networking)

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