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Recognition and location of solar panels based on machine vision
- Source :
- 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This paper mainly aims at the aerial image obtained by UAV, and proposes a new solar panel recognition method based on machine vision. In this paper, OpenCV and VS2013 are used to build the experimental platform. Firstly, the image is preprocessed, then the image is segmented in HSV color space, and then the morphological operation is carried out. Finally, according to the prior knowledge, the system can display the number of solar panels and the coordinates of each solar panel in the image in real time. It has a higher efficiency and success rate. The experimental results show that the algorithm is effective, and the model based on the algorithm design can realize real time and accuracy.
- Subjects :
- Engineering
business.industry
Machine vision
Color image
Binary image
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Image processing
Automatic image annotation
Image texture
Computer vision
Artificial intelligence
business
Aerial image
Feature detection (computer vision)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)
- Accession number :
- edsair.doi...........4cd4649564dfca38832186952e0b97bc