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High-altitude parabolic detection method based on deep learning

A high-altitude parabolic and deep learning technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as interference, false detection and false alarm, etc., and achieve the effects of resistance to light changes, fast operation speed, and strong robustness

Active Publication Date: 2021-02-05
ANHUI TSINGLINK INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this type of method is that it is susceptible to interference from the external environment and its own hardware equipment, and there are many false detections and false positives

Method used

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  • High-altitude parabolic detection method based on deep learning
  • High-altitude parabolic detection method based on deep learning
  • High-altitude parabolic detection method based on deep learning

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Embodiment Construction

[0042] In the following, the technical solution of the present invention will be described in detail through specific embodiments, and many specific details are set forth in the following description so as to fully understand the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present invention, so the present invention is not limited by the specific implementation disclosed below.

[0043] Such as figure 1 As shown, a deep learning-based high-altitude parabolic detection method proposed by the present invention includes the following steps S100 to S300:

[0044] S100: Acquiring an image to be recognized;

[0045] S200: Input the image to be recognized into the pre-trained deep neural network model to perform forward calculation to obtain the position of the high-altitude parabolic object;

[004...

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Abstract

The invention discloses a high-altitude parabolic detection method based on deep learning, and relates to the technical field of high-altitude parabolic detection, and the method comprises the steps:inputting a to-be-recognized image into a pre-trained deep neural network model for forward operation, and obtaining the position of a high-altitude parabolic, wherein the deep neural network model comprises a trunk network and a prediction network, and judging whether a high-altitude object throwing behavior exists or not according to the high-altitude object throwing position track. An efficientbackbone network is adopted, the operation speed is higher, and the position of the high-altitude projectile body can be accurately positioned.

Description

technical field [0001] The invention relates to the technical field of urban public safety, in particular to a method for detecting high-altitude parabolic objects based on deep learning. Background technique [0002] With the advancement of the modernization process of residents' lives, more and more high-rise buildings have sprung up, and the phenomenon of high-altitude parabolic objects known as "pain hanging over the city" is increasing. High-altitude parabolic objects have always attracted attention because they Not only uncivilized behavior, but also a huge threat to urban security. Due to the fact that high-altitude parabolic incidents are mostly high-altitude floors, there are few witnesses, and the parabolic time is short, it is difficult for law enforcement agencies to pursue the legal responsibility of the parabolic. Article 87 of the "Tort Liability Law of the People's Republic of China" stipulates: If an object thrown from a building or an object falling from a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/73G06T7/246
CPCG06T7/73G06T7/246G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30232G06T2207/30241Y02A90/10
Inventor 张卡何佳戴亮亮尼秀明
Owner ANHUI TSINGLINK INFORMATION TECH
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