Human body heat source feature extracting and distinguishing method based on infrared pyroelectric information
A technology of feature extraction and discriminant methods, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems that cannot be realized at the same time
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[0053] The present invention can use a single pyroelectric detector to realize a large range of 360 degrees and a relatively long detection distance, and also detect static infrared heat sources, extract the wavelet packet entropy of the PIR signal as a feature, and send it into the BP neural network for human body detection judge. Thereby effectively solving the conflict between comfort and energy saving in intelligent air conditioning and the problem of high false alarm rate in safety monitoring system.
[0054] Since heat sources of different shapes will generate different signals when they pass through the PIR detection range, this provides a theoretical basis for using pyroelectric sensors to detect human and non-human bodies. Accordingly, a single PIR detector with a Fresnel lens is driven by a stepping motor to rotate at a constant speed to realize long-distance, 360-degree wide-range, and stationary object detection. The detection range is a disc with a radius of 7.4 ...
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