Selangor to Pilot AI-powered Fall Monitoring Devices for Elderly Safety

When a high-risk situation is detected, the AI system automatically sends alerts to care centre operators, family members or security personnel, allowing faster intervention without waiting for manual reporting.

Malaysia’s Selangor state government has announced plans to pilot AI-powered fall monitoring devices for senior citizens, with 150 units scheduled for deployment from June across selected care centres and private homes.

The initiative follows a memorandum of understanding signed in October with South Korean technology company UNIUNI, which provides the underlying AI system. The deployment aligns with the Selangor Care Economy Policy 2024-2030, a framework that focuses on strengthening long-term care systems through innovation, partnerships, and digital tools.

As Malaysia steadily transitions into an ageing society, Selangor has positioned AI-enabled eldercare as a strategic priority.

At the centre of the system are infrared sensors combined with AI algorithms that analyse movement patterns in real time. Instead of relying on wearable devices or panic buttons, the technology monitors posture, mobility and spatial behaviour to identify abnormal events such as falls or prolonged inactivity.

When a high-risk situation is detected, the AI system automatically sends alerts to care centre operators, family members or security personnel, allowing faster intervention without waiting for manual reporting.

This proactive use of AI addresses a key limitation of traditional elder safety systems, which often depend on seniors being able to call for help. In cases where individuals are unconscious or disoriented, automated AI monitoring can provide an additional layer of protection.

The approach reflects broader trends in digital health and ambient assisted living, where AI operates discreetly in the background to support independence while enhancing safety.

State officials have indicated that consent and data governance will be central to the pilot, particularly as AI-generated data becomes an increasingly important component of care planning and monitoring.

The rollout comes as Selangor prepares for demographic shifts. More than 8% of the state’s population is aged 65 and above, meeting the threshold commonly used to define an ageing society.

Beyond immediate safety benefits, aggregated and anonymised data from the AI system could inform future policy decisions. Insights into common fall risks and movement patterns may help improve home design, care protocols and preventive interventions.

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