Community intelligent old-age care service system

Abstract

The invention discloses a community intelligent old-age care service system, and the system comprises a behavior collection module which is used for achieving the collection of old-age behavior data through the combination of a camera and a posture collection belt; the vital sign acquisition module is used for acquiring vital sign data of the old and feeding back the vital sign data to the vital sign analysis module in real time; the behavior analysis module is used for analyzing behavior data of the old people so as to obtain abnormal behaviors and psychological needs of the old people; the vital sign analysis module is used for analyzing the vital sign data so as to obtain abnormal vital signs; and the abnormity real-time feedback module is used for generating a corresponding abnormity checking task according to a preset template and sending the abnormity checking task to a corresponding management personnel terminal, and management personnel can complete the corresponding abnormity checking task by completing filling and uploading of an abnormity checking report according to the set template. Omnibearing automatic monitoring of the old people is achieved, monitoring blind areas are reduced as much as possible, physiological demand recognition and auxiliary implementation functions are introduced, and the experience feeling of customers is greatly improved.

Description

technical field [0001] The invention relates to the field of monitoring systems, in particular to a community smart elderly care service system. Background technique [0002] With the intensification of population aging, the issue of old-age care has become a social concern. According to the investigation and research, the current home care mode accounts for 64.25% of the total population, community care (mainly at home, supplemented by community institutions) accounts for 33.82%, retirement communities (communities specially established for the elderly) account for 23.67%, and institutional care Only accounted for 12.56%, see the specific data figure 1 . As the age of the elderly group grows further, there must be a professional community to provide door-to-door testing and services, and the community-based elderly care model promotes and complements home-based elderly care. [0003] The construction of "Internet +" community elderly care has broken through the informati...

AI Technical Summary

Problems solved by technology

[0004] 1) Using cameras to monitor the daily life of the elderly, due to the need for personal privacy, there is a large monitoring blind spot;

[0005] 2) Human observation of video data is required. On the o

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