Jonathan Henrique Efigenio de Oliveira, W. F. Lages
{"title":"Robotized inspection of power lines with infrared vision","authors":"Jonathan Henrique Efigenio de Oliveira, W. F. Lages","doi":"10.1109/CARPI.2010.5624468","DOIUrl":null,"url":null,"abstract":"This paper presents a method to automatically detect faults in transmission lines by using thermographie images. It involves the acquisition of infrared images over a network and its processing. Since the method is intented to be used embedded in a robot, low demands on processing power are required, in order to enable inspection on large extensions of transmission lines. The automatic inspection of power lines, allows for inspections over a longer period of time and with a decreased risk for the professionals involved. Experimental results show that the proposed method is able to detect cables with problems.","PeriodicalId":374619,"journal":{"name":"2010 1st International Conference on Applied Robotics for the Power Industry","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 1st International Conference on Applied Robotics for the Power Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPI.2010.5624468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
This paper presents a method to automatically detect faults in transmission lines by using thermographie images. It involves the acquisition of infrared images over a network and its processing. Since the method is intented to be used embedded in a robot, low demands on processing power are required, in order to enable inspection on large extensions of transmission lines. The automatic inspection of power lines, allows for inspections over a longer period of time and with a decreased risk for the professionals involved. Experimental results show that the proposed method is able to detect cables with problems.