Intelligent home monitoring system and method
A monitoring system and smart home technology, applied in closed-circuit television systems, comprehensive factory control, electrical program control, etc., can solve problems such as limited security, single function, and failure of the monitoring system, so as to avoid the entry and exit of thieves and ensure accurate The effect of efficiency and effectiveness
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Embodiment 1
[0063] By adopting the invention, the home can be safely monitored to prevent thieves from entering. Its main implementation method is to collect and store the characteristic information of the pictures of the home environment and family members, process the real-time images captured during monitoring, and calculate and compare the characteristic data of the pictures, so as to judge the information that appears within the monitoring range. Whether the person belongs to a stranger, if so, then send an alarm signal like an information receiving terminal.
[0064] The realization principle of the above method is:
[0065] S1 collects characteristic information of home environment and pictures of family members;
[0066] Step S1 includes,
[0067] S11 converts the captured picture pixels from RGB color space mode to HSV color space mode, the conversion formula is
[0068]
[0069]
[0070]
[0071] one of them and To obtain the maximum value and minimum value in th...
Embodiment 2
[0115] Another application of the present invention is to take care of the elderly who are alone at home, and send an alarm signal when the elderly falls.
[0116] The way to judge the fall of the elderly is to use the change of the center of gravity when the person walks to judge. The calculation method for the height of the center of gravity of the human body adopts the calculation method of the center of gravity of the triangle, specifically:
[0117] 1. Calculate the center of gravity of the head and feet;
[0118] When calculating the center of gravity of the head and feet, the task image needs to be divided into a head area and a foot area, wherein the height of the head area accounts for 20% of the height, and the height of the foot area accounts for 33% of the height.
[0119] Further, the center of gravity of the head is determined by selecting 65% of the pixels downward from the top of the head area, and the center of gravity of the head is defined as the smallest su...
Embodiment 3
[0133] The dumping of home furniture, especially large furniture, often means that there is an abnormal situation in the home environment. For the monitoring method of the furniture state, refer to Example 1, compare the real-time monitored furniture image feature vector with the stored image feature vector and calculate the difference between the two. The included angle can determine whether the furniture is toppled over.
[0134] Preferably, according to the method, it is also possible to judge whether the furniture at a specific location is lost, and extract image feature vectors of important furniture separately and store them. After binarizing the real-time image and the original image, subtraction operation is performed. If the obtained distinguishing feature is the same as the feature vector of the stored important furniture, it means that the furniture at this position has been lost, and an alarm is triggered at this time.
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