Flame and smoke detection method and system, terminal equipment and medium

A detection method and detection system technology, which are applied in neural learning methods, character and pattern recognition, image data processing, etc., can solve the problems of limited applicable scenarios and low detection result accuracy, and achieve improved recognition accuracy and good generalization ability. and robustness, the effect of avoiding accidents

Pending Publication Date: 2022-04-12
ZHENGZHOU UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a flame and smoke detection method, system, terminal equipment and medium to solv

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  • Flame and smoke detection method and system, terminal equipment and medium
  • Flame and smoke detection method and system, terminal equipment and medium
  • Flame and smoke detection method and system, terminal equipment and medium

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Embodiment Construction

[0044] 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 persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0045] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.

[0046] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...

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Abstract

The invention discloses a flame and smoke detection method and system, terminal equipment and a medium, and the method comprises the steps: collecting a to-be-detected video of a set region, and extracting a video sequence image of the to-be-detected video; inputting the video sequence image into a detection model for static texture feature analysis, and outputting an analysis result; according to the analysis result, judging whether flames and/or smog exist in the video to be detected; and when flame and/or smoke exist in the video to be detected, extracting an optical flow sequence of the video to be detected, and inputting the optical flow sequence into the classification model to generate a classification result. According to the flame and smoke detection method provided by the invention, the static texture and the dynamic texture of the smoke and the flame are combined in an algorithm, so that the smoke and the flame can be accurately identified, and the positions where the smoke and the flame occur are recorded; the method not only has strong generalization ability and robustness, but also can be suitable for various environments.

Description

technical field [0001] The invention relates to the technical field of image monitoring and processing, in particular to a flame and smoke detection method, system, terminal equipment and medium. Background technique [0002] In the field of fire detection, the traditional method is based on a simple mathematical model and a single sensor, and only detects a single physical information, such as smoke or temperature. Since the real environment is often more complex, when this method is applied, it is not only easy to make false detections and false alarms, but also requires the equipment to be close to the fire source, and the alarm can only be triggered after the fire reaches a certain level. Therefore, this method brings a lot of inconvenience to fire detection, and it is impossible to carry out fire prevention and manual intervention after fire in a timely and effective manner. [0003] With the development of computer vision and the rise of neural networks, more and more...

Claims

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Application Information

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IPC IPC(8): G06V20/40G06V10/54G06V10/764G06V10/82G06T7/207G06T7/40G06N3/04G06N3/08
Inventor 钟委宋朝阳沈亚文候清桦周冰杰
Owner ZHENGZHOU UNIV
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