CN112199982 Smart home system based on deep learning

The invention discloses a smart home system based on deep learning. The system comprises a video recording subsystem, an information processing subsystem, an intelligent control subsystem, a behaviordata analysis subsystem and an early warning subsystem. The video recording subsystem is used for continuously recording the indoor real-time condition of a user for 24 hours by utilizing a high-definition camera and machine learning; the information processing subsystem is used for carrying out image data processing and feature value extraction on the recorded video data so as to further detect abnormal behavior data; a convolutional neural network (CNN) algorithm is adopted to detect abnormal behavior data, abnormal behaviors are divided according to abnormal levels, and different early warning measures are adopted according to a preset abnormal threshold value and the abnormal levels, so that the safety of a user is guaranteed to a great extent; and the system also has a behavior data analysis function, and daily behavior data of the user is analyzed by utilizing technologies such as a big data analysis technology, artificial intelligence and machine learning, so that the system canserve different users in a more humanized manner.