  In response to the social issue of the increasing number of elderly
vulnerable groups going missing due to the aggravating aging population in
China, our team has developed a wearable anti-loss device and intelligent early
warning system for elderly individuals with intermittent dementia using
artificial intelligence and IoT technology. This system comprises an anti-loss
smart helmet, a cloud computing module, and an intelligent early warning
application on the caregiver's mobile device. The smart helmet integrates a
miniature camera module, a GPS module, and a 5G communication module to collect
first-person images and location information of the elderly. Data is
transmitted remotely via 5G, FTP, and TCP protocols. In the cloud computing
module, our team has proposed for the first time a multimodal dangerous state
recognition network based on scene and location information to accurately
assess the risk of elderly individuals going missing. Finally, the application
software interface designed for the caregiver's mobile device implements
multi-level early warnings. The system developed by our team requires no
operation or response from the elderly, achieving fully automatic environmental
perception, risk assessment, and proactive alarming. This overcomes the
limitations of traditional monitoring devices, which require active operation
and response, thus avoiding the issue of the digital divide for the elderly. It
effectively prevents accidental loss and potential dangers for elderly
individuals with dementia.
