Detection and Identification of Substation Safety Signs
Liguo Tian, Shuwei Liu, Yue Liu, Meng Li, Beibei Guan · 2018
Safety signs are an important guarantee for the safe operation of a substation. The proper placements of all safety signs in a substation as well as accurate detection and identification of them provide the basis for future defect detection of safety signs. With the use of LABVIEW programming language and MATLAB mathematical software, a method of detecting and recognizing security signs is proposed. First of all, the returned images during the substation inspection will be preprocessed. Then the warning signs will be extracted by color features, and each part of the warning signs will be segmented. Finally, the safety signs will be identified by neural network matching.