Comprehensive flame detection method based on ultraviolet and binocular vision
A binocular vision and flame detection technology, applied in the field of image analysis, can solve the problems of difficulty in simultaneous satisfaction, reduction of detection rate and false detection rate, etc., to reduce the probability of false detection and missed detection, fast response, strong robustness sexual effect
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[0108] 1. Environmental monitoring
[0109] Use the ultraviolet fire detector to detect the ultraviolet spectrum in the 180-240nm band in the current environment. If the ultraviolet spectrum in this band is detected, the camera will be triggered to take a snapshot.
[0110] 2. Motion detection
[0111] To analyze the captured pictures, first perform motion detection on the captured pictures. Background subtraction is currently one of the simplest and most efficient methods for motion recognition. In order to obtain an accurate foreground image, an important step in background subtraction is how to establish an accurate background image. The method of background modeling currently mainly uses the MOG2 algorithm. The OpenCV3.0 version adds a KNN background modeling algorithm. In the case of a small number of moving objects, the KNN algorithm is slightly more accurate in establishing the resulting background image. It is better than the MOG2 algorithm, but in terms of processin...
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