Privacy-first, non-wearable sub-6GHz radar tracking designed to mitigate unwitnessed falls and support preventative residential care pathways.
Explore Pilot PartnershipsWhy traditional monitoring solutions fail modern residential care providers.
Delayed response times lead to long lie injuries, severe clinical trauma, emergency blue-light ambulance call-outs, and hospital bed-blocking.
Traditional pendant alarms suffer from high refusal or forgetfulness rates among residents with cognitive impairment.
Optical video monitoring severely violates resident privacy and dignity in private quarters like bedrooms and bathrooms.
Passive ambient intelligence engineered for clinical precision and absolute privacy.
Utilises advanced sub-6GHz micro-Doppler radar arrays. Zero video or audio feeds are captured, protecting absolute resident dignity.
Fall signature recognition and gait speed decay metrics are processed locally on secure edge nodes within 1.2 seconds for rapid alert routing.
Eliminates upfront CAPEX barriers for care operators via a predictable monthly B2B subscription covering hardware and cloud telemetry.
System status: Active monitoring across test-bed deployment nodes. Latency: 1.1s. Edge compliance: Active (DSPT / GDPR Ready).
Advanced engineering built for sub-second precision and data sovereignty.
Engineered entirely from the ground up, Smart Falls leverages proprietary micro-Doppler signature extraction algorithms operating within the sub-6GHz spectrum. Our system executes multi-layer spatial tracking and edge-neural processing locally on-device, bypassing cloud latency bottlenecks to achieve sub-1.2-second fall classification while ensuring absolute data sovereignty and compliance with NHS clinical safety standards (DCB0129).
Structured 12-month technical translation backed by rigorous project governance.
Months 1–4: Finalizing sub-6GHz micro-Doppler radar array enclosures and training edge-AI models for sub-second fall signature recognition.
Months 5–8: Deploying the secure web telemetry dashboard and building API connectors for Electronic Care Planning systems.
Months 9–12: Partnering with regional care operators (via Health Innovation Yorkshire & Humber) for real-world validation and workflow testing.
Our R&D framework aligns product development with NHS Digital Technology Assessment Criteria (DTAC) and Information Governance frameworks, bridging cutting-edge academic engineering with reliable, scalable deployment in live healthcare environments.
Expert governance driving digital health innovation.
Project Lead & Founder
Holds a Master of Science in Project Management from the University of Bradford[cite: 3]. Directs overall project governance, work package scheduling, grant compliance, and strategic stakeholder engagement across regional health innovation networks[cite: 3].