Fire discrimination device based on improved Prewitt operator

Abstract

The invention provides a fire discrimination device based on an improved Prewitt operator. The fire discrimination device comprises an input module, wherein the input module is composed of a pluralityof network cameras; an algorithm processing module, wherein the algorithm processing module is connected with the input module; and a smoke alarm, wherein the smoke alarm is connected with the algorithm processing module, the input module is connected to the algorithm processing module by using a network adapter, and the algorithm processing module is used for processing and analyzing a fire scene, realizing accurate restoration and positioning, and alarming via the smoke alarm; a video monitoring server, wherein the video monitoring server is connected with the algorithm processing module; and an output module, wherein the output module is connected with the video monitoring server.

Description

technical field [0001] The invention belongs to the technical field of factory equipment control, in particular to a fire discrimination device based on an improved Prewitt operator. Background technique [0002] Image edge detection technology is mainly used in monitoring and access control facilities for road traffic control or car access monitoring. Now it is gradually applied in the automatic control system of the factory. For the stacking of a large number of goods in the factory, the existing method is manual stacking, which is time-consuming and labor-intensive. It is necessary to perform edge detection on the stacked image to achieve automatic stacking. [0003] In addition, image edge detection technology, like camera sampling technology, digital-to-analog conversion technology, and interface technology, is one of the core technologies of security systems. It has a profound research foundation. In the past 50 years since 1965, many domestic and foreign scholars Stu...

AI Technical Summary

Problems solved by technology

With the deepening of the research, it is found that the detection accuracy of the Roberts operator is high, so some use the Roberts operator for edge detection, such as the patent number 201510172635.4 (name: image edge detection method based on the Roberts operator), this method is compared with Due to the improvement of the accuracy and anti-noise ability of the existing technology for image edge detection, there is a problem that it cannot still have a good recognition in a complex noise environment, and the robustness is poor.

The traditional Roberts edge detection operator is accurate in edge positioning, but sensitive to noise

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