Pedal detection method and system based on image processing
A technology of image processing and detection method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc. It can solve the problems of false positives, false positives, and switch signals that cannot visually display the real-time status of the pedals, so as to prevent car accidents , Improve the effect of safety margin
Active Publication Date: 2018-10-09
BEIJING INST OF ENVIRONMENTAL FEATURES
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[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0033] see figure 1 , is a flow chart of the pedal detection method based on image processing according to the first embodiment of the present invention. like figure 1 As shown, the method provided in this embodiment includes the following steps:
[0034] First, in step S101, an image acquisition step is performed: collecting images of ped...
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The invention relates to a pedal detection system and method based on image processing. The method comprises the steps that the images of a pedal which drops and folds are collected as training samples, and the images of the pedal to be detected are collected as test samples; the direction gradient histogram information of each image in the training samples are extracted to form a feature vector;an SVM classifier kernel function is selected, and the extracted training samples are used to train an SVM classifier; and the direction gradient histogram information of the images of the test samples is extracted to form a feature vector, and the SVM classifier is used to judge whether the pedal drops or folds. According to the invention, the images of the pedal are collected, and the directiongradient histogram information is extracted to form feature vectors; an SVM classification method is used for feature vector classification; whether the pedal drops or folds is monitored in real time;collision with passing trains can be prevented; and the safety margin of a bullet train maintenance platform is improved.
Description
Technical field [0001] The invention relates to the field of computer image detection, and in particular to a pedal detection method and system based on image processing. Background technique [0002] The EMU maintenance platform is one of the key equipment in the EMU base and EMU operation center. It provides convenience for the daily maintenance, inspection, maintenance and repair of the EMU. Methods such as hydraulic bridges are used in the equipment process design to meet the needs of maintenance personnel at different heights on various types of EMUs. Therefore, pedals (also called crossing boards) are installed on the actual platform and protective net to ensure the safety of workers working on the top. There are many CRH series models of EMUs in our country, and the height and contour shape of the car bodies of different models vary greatly. In order to make the inspection platform compatible with the contours of all EMUs, it is very necessary to set up a pedal mecha...
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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/507G06F18/2411
Inventor 杨晨孙新学宋亚军向宏义
Owner BEIJING INST OF ENVIRONMENTAL FEATURES