Video monitoring supervision area multi-device linkage method based on image domain template matching
A video monitoring and template matching technology, applied in the fields of image processing, pattern recognition and deep learning, can solve problems such as reducing the operating efficiency of enterprises, prone to safety accidents, and threatening the life safety of staff, so as to reduce the amount of calculation and the complexity of logical judgment degree, reduce the probability of accidents, and ensure the effect of enterprise safety production
Pending Publication Date: 2020-05-22
哈尔滨融智爱科智能科技有限公司
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Benefits of technology
This patented system helps identify objects within specific regions quickly while also being able to track their movement accurately during monitoring without requiring complicated calculations or manual adjustments. It achieves this through advanced techniques like machine vision that use various algorithms such as convolutional neural networks (CNN) to recognize patterns on digital videos captured by cameras mounted at different locations around the world' s periphery. By analyzing these data sets it becomes possible to detect potential threat scenarios early warning signs about explosion hazards and ensure proper handling procedures are followed up before causing harm.
Problems solved by technology
This technical issue addressed by current methods used during these types of industrial sectors involves human error or lack of knowledge about potential dangers caused by workers entering certain places without being aware enough when they come closer. There may be times when security guards cannot see them clearly while monitoring their movements around within an enclosed space like a nuclear power plant. Additionally, existing systems rely heavily upon visual observation alone which could result in incorrect identifications and delays if needed.
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[0024] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0025] combine Figure 1-3 As shown, the multi-device linkage method for video surveillance supervision area based on image domain template matching disclosed in this embodiment includes template generation, target positioning and equipment linkage. The image domain equipment control template generated by the template generation part is the basis of equipment linkage. The positioning part detects the image of the input video monitoring screen, locates the coordinates of the target in the video monitoring screen, and inputs the coordinate information to the equipment linkage part. The equipment linkage part judges whether the target is in the Supervise the area and carry out corresponding equipment linkage.
[0026] combine Figure 1-3 As shown, the multi-device linkage method for video surveillance supervision area based on image domain template matching disclosed in
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The invention relates to a video monitoring supervision area multi-device linkage method based on image domain template matching. The invention relates to image processing, pattern recognition and deep learning. The invention belongs to the field of intelligent security and protection. The method comprises the steps of template generation, target positioning and equipment linkage. An image domainequipment control template generated by a template generation part is the basis of equipment linkage. The target positioning part is used for detecting an input video monitoring picture image, positioning coordinates of a target in a video monitoring picture and inputting coordinate information into the equipment linkage part. The equipment linkage part is used for judging whether the target is located in a monitoring area or not through an equipment control template according to the coordinate information of the target and carrying out corresponding equipment linkage. According to the invention, a template matching method is used to carry out multi-device linkage in a video monitoring supervision area, and the matching template is visualized, so that the calculation quantity and the logiccomplexity are reduced. In an industrial high-risk environment, illegal intrusion in a supervision area can be actively prevented, the safety guarantee requirement in actual industrial production ismet, implementation is convenient, and application and popularization are easy.
Description
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