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Early fire detection method, computer readable medium and system

A detection method and fire technology, applied in the field of computer vision, can solve the problems of slow flame development and easy missed detection due to the difference between before and after frames, so as to improve the accuracy, prevent the missed detection and increase the accuracy.

Pending Publication Date: 2019-10-25
创新奇智(成都)科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above video-based fire detection method only uses the information of the front and back frames. In the early stage of the fire, the flame develops slowly, and when the difference between the front and back frames is small, it is easy to miss detection.

Method used

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  • Early fire detection method, computer readable medium and system
  • Early fire detection method, computer readable medium and system

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] see figure 1 , the first embodiment of the present invention provides an early fire detection method, the method includes the following steps,

[0036] Step S1: Obtain real-time surveillance video;

[0037] Step S2: Provide a single-frame detection network model, and use the single-frame detection network model to detect whether there is flame and / or smoke in the image at the current moment, so as to obtain the first detection result;

[0038] Step S3: providing a timing detection network model, and using the timing detection network model to detect the flame level and / or sm...

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Abstract

The invention relates to an early fire detection method which is used for detecting a fire and comprises the following steps: S1, acquiring a real-time monitoring video; S2, providing a single-frame detection network model, and using the single-frame detection network model to detect whether flame and / or smoke exists in the image at the current moment or not so as to obtain a first detection result; S3, providing a time sequence detection network model, and detecting a flame level and / or a smoke level in the video sequence before the current moment by using the time sequence detection networkmodel to obtain a second detection result; and S4, calculating a fire risk level by combining the first detection result and the second detection result. Thus, missed detection of fire disasters is prevented, and the accuracy of fire detection is improved. The invention also provides a computer readable medium. The invention also provides a detection system.

Description

【Technical field】 [0001] The invention relates to the field of computer vision, in particular to an early fire detection method, a computer-readable medium and a system. 【Background technique】 [0002] Most of the existing fires are detected based on smoke sensors or infrared sensors. However, it takes a certain amount of time for smoke and heat to diffuse to the corresponding sensors, so these sensors cannot detect fires in time; [0003] With the improvement of image analysis technology, researchers consider using video as input and using multi-frame information for flame detection. This type of method generally detects the motion area by calculating the frame difference between the two frames of images before and after, and then judges whether the motion area is flame or smoke, that is, uses the color feature to detect the suspected flame area on the frame difference image, and detects it based on the background difference method. Suspected smoke areas, and then extract ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06V20/48G06N3/044G06N3/045G06F18/214
Inventor 张发恩贲圣兰
Owner 创新奇智(成都)科技有限公司
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