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Video-based flame detecting device and method

A flame detection device and flame technology, applied in fire alarms, character and pattern recognition, image data processing, etc., can solve the problems of high false alarm rate, low false alarm rate, easy to be interfered by external factors, etc., and achieve accurate recognition The effect of high rate and low false negative rate

Inactive Publication Date: 2010-12-29
FURUNO SOFTECH DALIAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Sensor monitoring is to use smoke and fire sensors to detect whether there is smoke or fire and give an alarm. This monitoring method is easily disturbed by external factors (such as: temperature, distance, vibration, sound and other external factors), and the false alarm rate is high. The smoke sensor system of the sensor type reacts slowly and requires a certain concentration and temperature. When it is found, the loss has already been caused.
Video surveillance is to use the camera to collect live video in real time, and the on-duty personnel will guard it at all times. When there is smoke or fire on the scene, it will be dealt with in a timely manner. Although the false alarm rate is low, due to the need for manual guarding, it is easy to produce visual acuity after a long time. fatigue, lead to omission

Method used

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  • Video-based flame detecting device and method
  • Video-based flame detecting device and method
  • Video-based flame detecting device and method

Examples

Experimental program
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Effect test

Embodiment 1

[0051] Embodiment 1: as figure 1The camera in the flame detection device can be CMOS or CCD, can be an infrared camera or a common camera; wherein the photographing unit 101 will obtain the current image of the surveillance area and hand it over to the foreground extraction unit 102 in the data processor for processing, and the foreground extraction Unit 102 extracts the foreground area of ​​the current image according to the current image and the background image captured by the photographing unit 101; then edge extraction is performed on the foreground area extracted by the foreground edge extraction unit 103 through the foreground edge extraction unit; Detect the edge shape extracted by the foreground edge extraction unit 103, and detect whether it has a pointed shape (the pointed shape is composed of a vertex, two corners and the angle between the two corners, and when the edge shape is detected The number of vertices is within the specified threshold range, the length of ...

Embodiment 2

[0075] Embodiment 2: as image 3 The photographing unit 301, the foreground extraction unit 302, the foreground edge extraction unit 303, the sharp corner detection unit 304 and the sharp corner counting unit 305 of the current frame in this embodiment are the same as the photographing unit 101, the foreground extraction unit 102, the foreground edge counting unit 305 in the first embodiment. The functions and implementation methods of the extraction unit 103 , the sharp corner detection unit 104 , and the sharp corner count unit 105 of the current frame are the same, and will not be repeated here, and only the different places will be described. Compared with Embodiment 1, this embodiment has a continuous multi-frame sharp corner number storage unit 306, which is used to save the number of sharp corner shapes counted by the sharp corner counting unit including the current frame, and the edge of the foreground area in the previous continuous multi-frame The number of sharp cor...

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Abstract

The invention discloses a video-based flame detecting device and a video-based flame detecting method. The method comprises the following steps of: firstly, acquiring an edge shape of a foreground area by using a photographing unit, a foreground extraction unit and a foreground edge extraction unit; and secondly, acquiring the number of sharp angle shapes by the treatment of a sharp angle detection unit and a sharp angle counting unit of the current frame, calculating by using a continuous multi-frame sharp angle number storage unit and then making a further judgment on the calculating result by using a flame judgment unit; or directly making an judgment on the number of the sharp angle shapes by the flame judgment unit according to the counting of the sharp angle shape counting unit, and thus judging whether a flame exists or not. The device and the method identify and detect the sharp angle features of the flame by video image identification algorithm respectively, judge the identification and detection results, and if flame standards are met, can give an alarm or further perform treatment. The detecting device and the detecting method have the advantages of effectively eliminating interference of external factors such as light illumination and shallow, along with high identification accuracy, low false alarm rate and low omitted alarm rate.

Description

technical field [0001] The invention relates to a video-based flame detection device and method. Background technique [0002] In modern society, more and more electrical appliances are used in various occasions, which increases safety hazards. People's awareness of prevention has gradually increased, and they have begun to pay attention to various security products. At present, there are related monitoring and security products sold in the market, which can be basically divided into two categories in terms of monitoring means: sensor monitoring and video monitoring. Sensor monitoring is to use smoke and fire sensors to detect whether there is smoke or fire and give an alarm. This monitoring method is easily disturbed by external factors (such as: temperature, distance, vibration, sound and other external factors), and the false alarm rate is high. The sensor-type smoke detection system reacts slowly and requires a certain concentration and temperature. When it is found, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06T7/00G08B17/00
Inventor 方敏陈怀申孙文貌刘男
Owner FURUNO SOFTECH DALIAN
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