Visible light intelligent identification algorithm

Abstract

The present invention discloses a visible light intelligent identification algorithm. A visible light intelligent identification system employs a fire smoke detection module to perform motion detection for multi-frame images and segment frames of the motion; video images for a time are extracted, preprocessing of the video images is performed according to the form, the color, the texture and the motion form of fire smoke, and areas of the time area and the space area of the fire smoke are determined; secondary identification of features of the fire smoke is performed, the memory learning interference is eliminated, the multiple probability calculation is performed; and real data is obtained, and alarm prompting is given. The algorithm concretely comprises the following steps: (1) environment learning; (2) moving object identification; (3) area division and numbering; (4) smog identification; (5) flame identification; (6) probability analysis; and (7) body simulation and memory storage. The visible light intelligent identification algorithm is mainly applied to forest fire monitoring identification, agriculture moorburn identification and inflammable open fire identification, wherein the state comprises smog, flame form and the like, and the visible light intelligent identification algorithm can identify whether fire behavior is generated or not based on the image technology.

Description

technical field [0001] The invention relates to the technical field of pyrotechnic recognition, in particular to a visible light intelligent recognition algorithm. Background technique [0002] For a long time, the forest has played an important role in the national economy. It can not only provide the timber and forest by-products needed for national construction and people's life, but also shoulder the responsibility of releasing oxygen, regulating the climate, conserving water sources, maintaining water and soil, preventing wind and sand, Beautify the environment, purify the air, reduce noise and travel health care and other missions. However, forest fires can cause serious damage to forests. Nowadays, facing the hidden dangers of forest fires and the threat of forest fires, the task of forest fire prevention is becoming increasingly difficult. How to accurately detect sudden and hidden forest fires, find fires in time and call the police is our primary task and developm...

AI Technical Summary

Problems solved by technology

Shortcomings of the prior art: (1) According to the analysis of the color spectrum, it is found that the colors of the pyrotechnics and the environmental background overlap, which affects the color change; it is not conducive to the color change of the pixel point of the recognition color, which is not conducive to the alarm, resulting in false positives

(2) According to the analysis of the brightness of the smoke, it is easily affected by environmental factors

The reflection of objects and flowing water affects the system's discrimination, causing false alarms

(3) There is no multiple discrimination of recognition technology, and the accuracy of recognition is further corrected

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