Power transmission line dangerous vehicle crane boom raising identification system and multi-target tracking method
A technology of transmission lines and dangerous vehicles, applied in the field of computer vision, can solve the problems of high similarity occlusion of target appearance features, accuracy and reliability reduction, etc., and achieve the goal of improving the receptive field, reducing model parameters, and increasing depth and width Effect
Pending Publication Date: 2021-08-13
JIANGSU HAOHAN INFORMATION TECH
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However, in the construction operation scene under the actual transmission line, there may be multiple dangerous vehicles working at the same time and lifting the arms at the same time. The accuracy and reliability of judgments are reduced
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[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0029] Such as figure 1 As shown, the present embodiment provides an identification system for a crane arm of a dangerous vehicle on a transmission line, including an image acquisition module connected to a control module, a crane arm identification model, and an alarm module; the image acquisition module is used to acquire transmission line The video images within the scope of the hazard source are output to the control module; the crane jib identification model, the video im...
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The invention relates to the technical field of computer vision, in particular to a power transmission line dangerous vehicle crane boom raising identification system and method. The system comprises an image acquisition module, a crane boom raising identification model and an alarm module which are connected with a control module, wherein the image acquisition module is used for acquiring a video image in a dangerous source range of a power transmission line and outputting the video image to the control module; the video image processed by the control module is output to the crane boom raising identification model, and the crane boom raising identification model is used for identifying whether a boom raising behavior exists at a crane boom angle within the dangerous source range of the power transmission line; when the crane boom raising identification model identifies that the crane boom raising behavior exists at the crane boom angle, the control module starts the alarm module to give an alarm; a convolutional neural network trains a picture of whether a crane boom has a boom raising behavior in the danger source range to obtain the crane boom raising identification model. The method can quickly identify the raising boom of the crane in the dangerous source range and give an alarm.
Description
technical field [0001] The invention relates to the technical field of computer vision, in particular to an identification system and a multi-target tracking method for a lifting arm of a crane of a dangerous vehicle on a power transmission line. Background technique [0002] Building a strong smart grid and creating a safe and controllable new-generation power system is the foundation of the development of the power grid. With the current economic development, there are more and more high-voltage lines in the transmission line channel, and the prevention of dangerous sources and hidden dangers in the transmission line channel put forward higher requirements. During the actual construction process, due to violations of regulations, weak safety awareness, and ineffective on-site supervision measures, accidents in which the lifting arm of the crane touched the transmission line caused casualties occurred from time to time, causing certain losses to the stable operation of the ...
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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/40G06V20/52G06V10/267G06N3/045G06F18/214G06F18/24
Inventor 戴相龙李学钧蒋勇王晓鹏何成虎
Owner JIANGSU HAOHAN INFORMATION TECH