Image recognition technology-based forest fire automatic monitoring and recognition system and method
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A forest fire, automatic monitoring technology, applied in forest fire alarms, fire alarms that rely on radiation, image enhancement, etc., can solve the problem of accuracy, processing capacity, anti-interference, reliability and practicability Difficulties and other problems, to achieve the effect of reducing the amount of data calculation, improving the speed, and simplifying the complexity
Inactive Publication Date: 2020-09-15
HARBIN UNIV OF SCI & TECH
View PDF6 Cites 16 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0005] The purpose of the present invention is to solve the problem that the existing automatic monitoring and identification technology and software system still stay at the level of theoretical research, and the problems of accuracy, processi...
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
specific Embodiment approach 1
[0029] A forest fire automatic monitoring and recognition system based on image recognition technology in this embodiment, the monitoring and recognition system includes: an image acquisition module, an image preprocessing module, a moving target detection module, a feature extraction module, a classifier module, a smoke gas detection module; wherein,
[0030] The image acquisition module is used to collect forest video surveillance image frame sequences, and perform standardized format conversion and compression;
[0031] The image preprocessing module is used to perform median filtering and denoising processing on the image to make the image smoother and have fewer interference points, and store this original background image for subsequent processing;
[0032] A moving target detection module is used to determine the foreground target point in the received image, and the suspicious target area is segmented from the background;
[0033] A feature extraction module is used t...
specific Embodiment approach 2
[0037] Different from Embodiment 1, the feature extraction module includes four sub-modules of color, texture, shape and motion feature extraction in the automatic forest fire monitoring and recognition system based on image recognition technology in this embodiment.
specific Embodiment approach 3
[0039] The difference from Embodiment 1 or Embodiment 2 is that in this embodiment, a forest fire automatic monitoring and recognition system based on image recognition technology, the classifier module includes a smoke recognition sub-module and a flame recognition sub-module.
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention discloses an image recognition technology-based forest fire automatic monitoring and recognition system and method, and belongs to the field of image processing. Based on the characteristics of wide application range and high economy of video monitoring image processing and mode recognition technologies, the image recognition technology-based forest fire automatic monitoring and recognition system and method are applied to the field of forest fire monitoring and early warning. The image recognition technology-based forest fire automatic monitoring and recognition method comprisesthe following steps: performing preprocessing of image noise reduction and data compression by using median filtering and gray processing methods; detecting a moving target in the monitoring image byusing a Gaussian mixture background model and a differential detection technology; extracting multi-dimensional features such as color moment, energy, entropy, inverse difference moment and circularity from the detected target image, and fusing the multi-dimensional features into a normalized feature vector; and finally, using a binary classifier of a support vector machine for identification andjudgment. According to the image recognition technology-based forest fire automatic monitoring and recognition system and method, a moving target appearing in a complex background can be well detected, and characteristic parameters are extracted for identification, and automatic fire identification is further realized, and the image recognition technology-based forest fire automatic monitoring and recognition system and method have the advantage of high monitoring accuracy.
Description
technical field [0001] The invention relates to a forest fire automatic monitoring and recognition system and method based on image recognition technology. Background technique [0002] In order to reduce the loss of forest fires, the monitoring and early warning technology of forest fires has become a research topic that countries all over the world pay close attention to. The traditional fire monitoring methods are smoke, temperature, photodetectors and infrared radiation detection, as well as satellite monitoring which is more popular now. For large space fire monitoring such as forest, this paper proposes a fire monitoring method based on image visual features. [0003] With the rapid development of science and technology, various emerging technical means, such as satellite remote sensing, smart sensors, unmanned aerial vehicles, infrared detection and other technologies are gradually being applied to the field of forest fire monitoring and early warning. Traditional ma...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more