An assembled detector based on geometrical constraint for power component recognition

Zheng Ji, Yifan Liao, Li Zheng, Liang Wu, Manzhu Yu, Yanjie Feng

Research output: Contribution to journalArticle

Abstract

The intelligent inspection of power lines and other difficult-to-access structures and facilities has been greatly enhanced by the use of Unmanned Aerial Vehicles (UAVs), which allow inspection in a safe, efficient, and high-quality fashion. This paper analyzes the characteristics of a scene containing power equipment and the operation mode of UAVs. A low-cost virtual scene is created, and a training sample for the power-line components is generated quickly. Taking a vibration-damper as the main object, an assembled detector based on geometrical constraint (ADGC) is proposed and is used to analyze the virtual dataset. The geometric positional relationship is used as the constraint, and the Faster Region with Convolutional Neural Network (R-CNN), Deformable Part Model (DPM), and Haar cascade classifiers are combined, which allows the features of different classifiers, such as contour, shape, and texture to be fully used. By combining the characteristics of virtual data and real data using UAV images, the power components are detected by the ADGC. The result produced by the detector with relatively good performance can help expand the training set and achieve a better detection model. Moreover, this method can be smoothly transferred to other power-line facilities and other power-line scenarios.

Original languageEnglish (US)
Article number3517
JournalSensors (Switzerland)
Volume19
Issue number16
DOIs
StatePublished - Aug 2 2019

Fingerprint

power lines
Architectural Accessibility
Unmanned aerial vehicles (UAV)
Vibration
pilotless aircraft
Detectors
Costs and Cost Analysis
Equipment and Supplies
detectors
Classifiers
classifiers
Inspection
inspection
education
vibration isolators
Textures
Neural networks
cascades
textures
Datasets

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Ji, Zheng ; Liao, Yifan ; Zheng, Li ; Wu, Liang ; Yu, Manzhu ; Feng, Yanjie. / An assembled detector based on geometrical constraint for power component recognition. In: Sensors (Switzerland). 2019 ; Vol. 19, No. 16.
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An assembled detector based on geometrical constraint for power component recognition. / Ji, Zheng; Liao, Yifan; Zheng, Li; Wu, Liang; Yu, Manzhu; Feng, Yanjie.

In: Sensors (Switzerland), Vol. 19, No. 16, 3517, 02.08.2019.

Research output: Contribution to journalArticle

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