Fire detection and smoke detection method and system based on image processing

• US 7,542,585 B2
• Filed: 11/16/2005
• Issued: 06/02/2009
• Est. Priority Date: 11/16/2004
• Status: Active Grant

• Current Assignee: Huper Laboratories Co., Ltd.
• Original Assignee: Huper Laboratories Co., Ltd.
• Inventors: Chen, Chao-Ho
• Primary Examiner(s): AZARIAN, SEYED H
• Application Number:
  US11/164,254
• Publication Number:
  US 20060115154A1
• Time in Patent Office: 1,294 Days
• Field of Search: 382/100, 382/103, 382/106, 382/107, 382/154, 382/155, 382/162, 382/165, 382/167, 382/168, 382/172, 382/181, 382/184, 382/194, 382/199, 382/203, 382/209, 382/218, 382/232, 382/254, 382/255, 382/274, 382/276, 382/286, 382/287, 382/305, 348/143, 348/165
• US Class Current: 382/100
• CPC Class Codes: G08B 17/125 by using a video camera to detect fire or smoke
• CPC Class Codes: G08B 29/186 Fuzzy logic; neural networks

Abstract

Fire detection and smoke detection use an image capturing device to obtain images from a predetermined area and adopts an RGB (red, green, blue) color model based chromatic and disorder measurement for extracting fire pixels and smoke pixels. The extracted pixels are inputted to a fire detection fuzzy alarm system to generate an output of alarm information. Based on iterative checking on the growing ratio of the alarm information, a fire alarm is released accordingly.

Claims

1. A fire detection and smoke detection method based on image processing comprising following steps:

(a) capturing images of a predetermined area by an image capturing device;

(b) detecting number of flame pixels of each image by determining if each pixel of each image satisfies the following conditions;

R>

R_T;

R≧

G>

B; and

S≧

((255−

R)*S_T/R_T);

wherein R, G, B are red, green, blue gray levels of the pixel respectively, R_T is a threshold of the red gray level, S is saturation of the pixel, and S_T is saturation of the pixel when the red gray level of the pixel equals R_T;

(c) detecting number of smoke pixels of each image;

(d) generating a value according to the number of flame pixels and the number of smoke pixels of each image by a fuzzy system; and

(e) comparing values generated from images captured within a predetermined time interval to generate a comparison result.

2. The method of claim 1 further comprising checking if a ratio of number of pixels around circumference of an object formed by flame pixels of the image and number of pixels of the object is greater than a disorder threshold.

3. The method of claim 1 wherein step (c) comprises updating the number of smoke pixels when red, green and blue gray levels of a pixel of the image are approximately equal, and intensity of the pixel is within a predetermined range.

4. The method of claim 1 further comprising checking if a ratio of number of pixels around circumference of an object formed by smoke pixels of the image and number of pixels of the object is greater than a disorder threshold.

5. The method of claim 1 further comprising determining whether the images contain a flammable object or a combustible object according to the comparison result.

6. The method of claim 5 wherein detecting number of flame pixels of each image comprises:

updating the number of flame pixels when a pixel of the image satisfies the following conditions;

R>

R_T;

R≧

G>

B;

S≧

((255−

R)* S_T/R_T); and

I>

I_T;

wherein I is intensity of the pixel and I_T is a threshold of the intensity of the pixel;

step (c) comprises updating the number of smoke pixels when red, green and blue gray levels of a pixel of the image are approximately equal, and intensity of the pixel is within a predetermined range;

the method further comprising;

checking if a ratio of number of pixels around circumference of an object formed by flame pixels of the image and number of pixels of the object is greater than a first disorder threshold; and

checking if a ratio of number of pixels around circumference of an object formed by smoke pixels of the image and number of pixels of the object is greater than a second disorder threshold.

7. The method of claim 1 wherein step (d) generates a value according to the number of flame pixels and the number of smoke pixels of each image by a fire alarm fuzzy system.

8. The method of claim 1 further comprising outputting an alarm.

9. A fire detection and smoke detection system based on image processing comprising:

an image capturing device for capturing images of a predetermined area;

means for detecting number of flame pixels and number of smoke pixels of each image captured by the image capturing device by determining if each pixel of each image satisfies the following conditions;

R>

R_T;

R≧

G>

B; and

S≧

((255−

R)*S_T/R_T);

wherein R,G, B are red, green, blue gray levels of the pixel respectively, R_T is a threshold of the red gray level, S is saturation of the pixel, and S_T is saturation of the pixel when the red gray level of the pixel equals R_T;

a fuzzy system for generating a value according to the number of flame pixels and the number of smoke pixels of each image; and

means for comparing values generated from images captured by the image capturing device within a predetermined time interval to generate a comparison result.

10. The system of claim 9 further comprising means for outputting an alarm.

11. The system of claim 9 wherein the image capturing device is a camera.

12. The system of claim 9 wherein the image capturing device is a camcorder.