Journal of Information Security Research Ming Sun, Hao Wang 15 4 2024 https://doi.org/10.6025/jisr/2024/15/4/148-154 https://www.dline.info/jisr/fulltext/v15n4/jisrv15n4_3.pdf In today’s ageing society, elderly safety has become a major concern in China. This research introduces a comprehensive intelligent monitoring system for elderly safety, which combines artificial intelligence technology and diverse information fusion techniques. The system incorporates machine learning algorithms, Internet of Things (IoT) devices, and cloud computing applications, focusing on community and home scenarios. Through a series of sensors, it collects daily life data of the elderly in a non-intrusive manner, enabling intelligent alerts for high-risk conditions such as falls, sudden illnesses, abnormal entries/exits, gas leaks, and smoke detection. Innovative research in human posture estimation and behaviour recognition, along with the fusion of information from multiple sensors, can reduce the occurrence of elderly safety accidents and improve the living environment in communities and homes.