Aiming at substation switches

a switch detection and state recognition algorithm based on improved Hough forests is presented. The multi-feature extraction method and the classifier formed by Hough forests are used to construct a Hough transform framework to vote for the central position of target. A heuristic algorithm without non maxima suppression is used to solve the problem of multi-switch localization and improve the accuracy of target detection and localization. The “off” and “on” switch models are trained to detect and recognize the switches

respectively. Experimental results show that the method with its high recognition accuracy and high robustness can be applied to robot inspection system or intelligent video surveillance system. This work is supported by National Natural Science Foundation of China (No. 61571394) and Zhejiang Provincial Science and Technology Department of Public Welfare Projects (No. 2014C31095).