A non -contact indoor personnel based on the Internet of Things platform falling identification method

Abstract

The invention discloses a non-contact indoor person fall recognition method based on the Internet of Things platform. Through the NB-IoT narrow-band wireless communication module, the captured infrared thermal image including indoor personnel thermal information is transmitted to a cloud server in real time, and at the same time, the personnel The fall alarm information is returned to the monitoring device installed in the indoor monitoring area, realizing two-way wireless connection, no local gateway, no central network, and industrial-grade system reliability. In this way, there is no need to connect to the home broadband network, and a wide coverage of non-contact indoor personnel can be achieved. Fall recognition. The present invention realizes intelligent operation through the process of collecting NB-IoT narrow-band transmission of infrared thermal image with low resolution, enhancing the resolution of infrared thermal image, extracting human body posture feature and falling, returning fall information to the guardian's mobile phone and alarm information to the alarm device to issue an alarm sound. , Rapid fall behavior recognition.

Description

technical field [0001] The invention belongs to the technical field of fall recognition, and more specifically relates to a non-contact indoor person fall recognition method based on an Internet of Things platform. Background technique [0002] With the intensification of the aging population in China, the health care of the elderly has become one of the hotspots that the society generally pays attention to. By the end of 2019, my country's population aged 65 and above had exceeded 176 million, accounting for 12.6% of the total population (National Bureau of Statistics, 2019 Population Statistics Survey). According to the United Nations standard, the population aged 65 and above accounts for 14% of the total population, that is, the region is regarded as entering an "aging society". Taking 14% as the dividing line, at the end of 2019, my country was only 1.4% away from the "aging society". In 2018, Sichuan, Jiangsu, Chongqing and other provinces in my country have crossed t...

AI Technical Summary

Problems solved by technology

[0006] However, the non-contact indoor occupant fall recognition method in the prior art is based on the construction of the home broadband network, occupying the bandwidth of the home broadband network

At the same time, for the connection of infrared sensors, if a Wi-Fi wireless connection is used, some rooms cannot be covered, and the communication effect is not stable enough. If a wired connection is used, the wiring is more troublesome and the deployment cost is higher

In addition, for households without Internet connection, such as remote rural areas, it is impossible to implement

Images