The Design of Intellingent Fire Monitor System Based-On Digital Image

Abstract

Fire seriously affects people's lives and property, a large space building early fire detection and fighting has always been an international problem. Combining image recognition and processing technologies, intelligent control technology, we design an image-based intelligent fires fighting monitor system. Using this system, able to automatic pursuit fire, automatic alarm, timely and effective fixed fire-fighting in a large space. Can be used to protect the larger, higher risk important places. The system network flexibility, expandability, has been successfully applied to many practical projects.

Research on Automatic Fire Monitoring and Recognition Technology Based on Digital Image Processing Technology

“…The essence of histogram equalization is to increase the contrast between the target area and the background area by reducing the gray level of the image. Histogram equalization algorithm can be summarized as formula (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13) and formula (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14): (6) In the upper form, T represents the transformation function;…”

“…So far, many scholars at home and abroad have done a lot of research on the early detection of fire, and many achievements have been made. For example, the technology of fire detection sensors has been quite mature [1][2]. The application is also very common, and the research on fire location is relatively small, mainly focused on the scanning search positioning of infrared and ultraviolet fire detectors and the location technology of fire based on GPS.…”

“…The digital image processing toolbox (IPT) function rgb2gray in MATLAB can convert RGB color image into gray image. The syntax of function call is: 2 ( ) I rgb gray RGB  (2) In the upper form, RGB represents true color images, and I represents converted gray level images. Figure 1 shows the true color image of RGB and the grayscale image after the conversions.…”