Il rilevamento cadute edge AI multimodale di Deepfens AI su piattaforma medicale Avalue

A privacy-first answer to falls in aged care

As Taiwan enters a super-aged society, over 20% of the population aged 65+, hospitals and long-term care institutions face growing staff-shortage and safety-management pressure, with falls among the most common elderly accidents. Bathrooms and restrooms are the highest-risk areas yet the hardest to monitor with traditional cameras due to privacy. AI startup Deepfens AI has launched what it describes as the market's first multimodal edge AI fall-detection system for exactly these environments, partnering with Avalue Technology and its medical-grade edge computing platform to deliver a complete smart-healthcare solution.

How the system works

Instead of camera surveillance or wearables, the system uses millimetre-wave radar non-contact sensing to read human posture and motion in real time, detecting falls or abnormal behaviour without cameras, preserving privacy. It adds voice interaction: on detecting an anomaly it can speak to the user to confirm their condition and reduce false alarms. Combining multiple AI modalities, body movement, positional change and environmental information, improves accuracy. An Edge AI architecture runs inference locally on the device, keeping sensitive data off the cloud for privacy and low-latency response, and over time analyses behavioural patterns (daily activity, nighttime mobility, prolonged inactivity) to give care teams useful insight.

Avalue's medical-grade hardware

Avalue integrates the AI sensing system with medical-grade embedded computers and edge platforms so facilities can deploy quickly, a one-stop path from sensing devices and AI analytics to care-management platforms, covering fall detection in patient rooms and bathrooms, in-hospital safety, post-discharge home monitoring and chronic-patient activity tracking. The showcase features the compact AI Box PC MAB-T660D, Intel 14th Gen Raptor Lake Refresh on the Intel H610E platform, up to 64GB DDR5 and PCIe Gen4 x16 for AI accelerator cards, alongside the HPS-GNRU4A high-performance server, powered by Intel Xeon 6, supporting four dual-width GPUs with PCIe Gen5 for flexible, high-speed computing expansion and centralised management.

Where it's headed

Deepfens AI expects smart-care solutions to expand into home healthcare and smart-city applications, using AI sensing and behavioural analytics to safeguard elderly and patient safety without disrupting daily life while giving healthcare systems richer behavioural-health data. The solution was showcased at the 2026 Smart City Summit & Expo (March 17 a 20, AI Zone Pavilion, Booth Q1023).

Availability

TSL Automation Solutions supplies Avalue worldwide. The MAB-T660D AI Box PC and HPS-GNRU4A server are listed on our site. Contact our team to scope a medical-grade edge-AI platform for smart healthcare or long-term care.