Intelligent household monitoring method and system based on vibration detection

Abstract

The invention relates to the technical field of intelligent homes, and discloses an intelligent household monitoring method based on vibration detection. The monitoring method comprises following steps of that a data acquisition module acquires structure vibration information generated by behavior activities of people; and by analyzing and processing signals, the behavior activities of people in a home are intelligently monitored and an alarm is made for the abnormity. The beneficial effects are that a privacy problem of the monitoring in a camera chamber is solved; a user's live will not be affected; and easy use by the user is achieved.

Description

Technical field [0001] The invention belongs to the technical field of smart homes, and particularly relates to indoor positioning and monitoring methods for smart homes. Background technique [0002] With the development of the Internet of Things and the construction of smart cities, smart homes are becoming more and more popular. People hope that they can also monitor the situation at home when they are not at home, such as whether the elderly and children are safe, whether there is an intrusion by thieves, and whether the babysitter has performed inappropriate behaviors toward the children. The current monitoring method is generally camera technology. However, installing cameras at home involves privacy and even legal issues. It is even more impossible to install cameras in bedrooms and bathrooms, which are high-risk places for accidents between the elderly and children who are alone at home. In addition to privacy issues, the video captured by the camera continuously needs ...

AI Technical Summary

Problems solved by technology

However, WIFI signals have multipath and non-line-of-sight problems. When separated by walls, the signal strength will drop sharply, which greatly affects the accuracy of indoor positioning and the recognition accuracy of human behavior.

In addition, WIFI-based technology requires a fixed environment. If you move WIFI devices or change the indoor environment (such as the placement of furniture), this will cause the training model to no longer be valid, and behavior recognition will no longer be possible.

Secondly, the use of WIFI to conduct behavior recognition on people can only have high accuracy when there is only one person. When other people or pets are present, the WIFI signal will be affected, resulting in the inability to perform behavior recognition.

Therefore, the technology of using WIFI to monitor indoors has not been commercialized

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