Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles.

ABSTRACT: Proper maintenance of the electricity infrastructure requires periodic condition inspections of power line insulators, which can be subjected to various damages such as burns or fractures. The article includes an introduction to the problem of insulator detection and a description of various currently used methods. Afterwards, the authors proposed a new method for the detection of the power line insulators in digital images by applying selected signal analysis and machine learning algorithms. The insulators detected in the images can be further assessed in depth. The data set used in the study consists of images acquired by an Unmanned Aerial Vehicle (UAV) during its overflight along a high-voltage line located on the outskirts of the city of Opole, Opolskie Voivodeship, Poland. In the dig

SUBMITTER: Tomaszewski M 

PROVIDER: S-EPMC10051827 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature