The power sector is one of the most important engineering sectors, with a lot of equipment
that needs to be appropriately maintained, often spread over large areas. With the recent …

Insulator faults detection is an important task for high-voltage transmission line inspection.
However, current methods often suffer from the lack of accuracy and robustness. Moreover …

This paper presents the most current and innovative solutions applying modern digital
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …

In modern energy systems, substations are the core of electricity transmission and
distribution. However, similar appearance and small size pose significant challenges for …

This article presents an analysis of the effectiveness of object detection in digital images with
the application of a limited quantity of input. The possibility of using a limited set of learning …

In response to the escalating demand for electricity, the aging process and inherent failures
in power lines have become unavoidable challenges in their operational integrity. This …

Augmented reality overlays virtual content on the physical world, displaying location-based
information more efficiently. Tracking is a trace detail of the location recorded, either by …

This paper presents the implementation of a supervised machine learning method for the
detection of transmission towers. For this purpose, the authors have relied upon satellite …

This chapter describes a methodology for selecting characteristic local features, to facilitate
the detection of specified objects on power supply lines in diversified scenes. The objective …