A Fire Image Recognition Method Based on Deep Learning

An image recognition and deep learning technology, applied in the field of fire image recognition based on deep learning, can solve the problems that the accuracy is difficult to meet the requirements, the detection effect is not ideal, and the features are not obvious enough, so as to improve the accuracy, be easy to extract, and speed up the simulation. effect of speed
CN109522819BActive Publication Date: 2020-08-18XI AN JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Publication Date
2020-08-18

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Abstract

The invention belongs to the technical field of image information processing, and discloses a fire image recognition method based on deep learning, including: collecting smoke pictures and normal pictures in the early stage of fire as the training set and test set of convolutional neural network; The dark channel images constitute the final training set and test set; construct a convolutional neural model that can detect smoke; train the neural network to obtain a smoke detection model, and test and evaluate the performance of the model. Compared with the prior art, the present invention improves the correct rate of smoke detection in a single image by using dark channel images and deep learning methods, and at the same time increases the detection speed, and can be actually applied to fire detection in cities or forests.
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Description

technical field

[0001] The invention belongs to the technical field of image information processing, and in particular relates to a fire image recognition method based on deep learning. Background technique

[0002] Fire detection has always been an important field of image information processing technology. How to apply image information processing technology to effectively control fire and prevent fire spread has attracted the attention of many researchers and has become one of the research hotspots in the field of computer vision.

[0003] Generally speaking, the evolution of a fire can be divided into four stages: the invisible stage, the visible smoke stage, the open flame stage and the spreading stage. In order to minimize the loss caused by fire, fire early warning work is usually concentrated in the first two stages. Traditional fire detection mainly uses sensors such as temperature sensors, gas sensors, and humidity sensors to analyze parameters such as ambient tem...

Claims

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