Air conditioner control method based on indoor scene analysis
An indoor scene and control method technology, applied in heating and ventilation control systems, heating methods, space heating and ventilation, etc., can solve the problems of inability to adjust the air conditioning temperature and air blowing, and changing the air conditioning temperature and air blowing speed.
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[0044] The invention discloses an air conditioner control method based on indoor scene analysis, which uses a deep learning human body recognition algorithm, a motion scene algorithm, and a furniture recognition algorithm to process images captured by a camera on the air conditioner to obtain the current user's use scene , automatically control the temperature and blowing mode of the air conditioner according to different scenarios.
[0045] The specific method of the present invention is as follows.
[0046] Step 1. Neural network model training
[0047] Step 1.1, Neural Network Model Training for Human Recognition
[0048] By collecting various pictures and videos of the human body indoors, and then using an external rectangular frame to manually calibrate the human body area, the calibrated data is sent to a deep convolutional neural network (CNN, Convolution Neural Network) for learning, and the results for the human body are obtained. Recognized neural network models. ...
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