This shows that a learning-based approach is a promising technique for power line inspection.Ībstract = "Inspection of power line infrastructures must be periodically conducted by electric companies in order to ensure reliable electric power distribution. In the different evaluations, highly encouraging results were obtained. A thorough evaluation of the tower detection and classification approach has been carried out on image data from real inspections tasks with different types of towers and backgrounds. The first classifier is used for background-foreground segmentation, and the second multi-class MLP is used for classifying within 4 different types of electric towers. Following this direction, this paper proposes a supervised learning approach for solving the tower detection and classification problem, where HOG (Histograms of Oriented Gradients) features are used to train two MLP (multi-layer perceptron) neural networks. Research efforts are focused on automating the power line inspection process by looking for strategies that satisfy the different requirements of the inspection: simultaneously detect transmission towers, check for defects, and analyze security distances. Reach out to our team.Inspection of power line infrastructures must be periodically conducted by electric companies in order to ensure reliable electric power distribution.
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