Healthcare Systems & Management AI AWRTD Delivery Deployed

Edge AI for Intelligent Healthcare

EDGE HEALTH AI · demonstrated with ConsidraCare & the University of Lahore

A standard camera, an edge processor, and the right models can read heart rate from a face, score a gait after surgery, flag a fall before it happens, and find a lesion on a CT scan. EDGE HEALTH AI is one platform for all of it — computer vision and physiological sensing processed where the data is generated, so nothing sensitive has to leave the room.

See It Working Talk to Us

rPPG vital signs monitor: live camera feed with contactless heart rate, temperature, blood pressure estimation and final analysis panel

Interface shown is a representative demonstration.

Showcase — ConsidraCare

Vital signs from a standard camera. No wearables, no contact.

Developed with ConsidraCare, Canada, and engineered into their live care platform: remote photoplethysmography (rPPG) that reads physiological signals from microscopic colour changes in facial skin — invisible to the human eye, continuous, and non-invasive. The patient simply sits in front of a camera.

What it measures: heart rate, respiratory rate, heart-rate variability, blood-pressure and blood-oxygen estimation, stress indicators, and temperature trends.

Where it fits: hospital wards, telemedicine, elderly care, rehabilitation, and assisted living — continuous observation without disturbing the patient.

Why edge: processing runs on-device, so video never needs to leave the site — privacy by architecture, with the low latency continuous monitoring demands.

Showcase — Medical Imaging

AI-PRO: reading lumbar CT scans for the origin of metastatic disease.

Spinal metastases arrive through the bloodstream — most often from breast, lung, prostate, or kidney primaries — and pinpointing that origin quickly changes patient outcomes. AI-PRO, developed with the University Institute of Radiological Sciences & Medical Imaging Technology at the University of Lahore's Faculty of Allied Health Sciences, applies deep learning to lumbar-spine CT scans to identify metastatic lesions and assess where the primary cancer likely sits.

Analyses 100+ imaging characteristics associated with metastatic disease per scan.

Assists the radiologist — accelerating diagnostic pathways and supporting earlier investigation of primaries, with the clinician making every call.

Product-development proof of concept, built with academic and clinical partners in radiological sciences.

Lumbar spine visualisation with AI analysis regions highlighted

Movement Intelligence

Markerless motion capture — from the crease to the care home.

The same pose-estimation engine runs across sports science, rehabilitation, and elderly care: 3D-depth and RGB video analysed for posture, joint movement, and behaviour — no markers, no suits. Deployed work includes cricket action analysis for Madingley Cricket Club (Cambridge, UK), golf swing evaluation, football goalkeeper behaviour with the University of Lahore Sports Science Department, and gait analysis for post-operative orthopaedics.

Sports biomechanics: AI coaching feedback on technique, timing, and balance.

Elderly care: posture, movement, and fall-risk indicators tracked continuously.

Exercise analytics: skeletal keypoint tracking with live form scoring.

Rehabilitation: joint-angle and range-of-motion measurement, objective and repeatable.

The Platform

One edge foundation, a growing family of clinical applications.

Each showcase runs on the same EDGE HEALTH AI foundation: computer vision, physiological signal processing, deep learning, and pose estimation deployed at the edge — hospital, clinic, care home, or training ground — with privacy preserved by keeping raw video on-site.

EDGE HEALTH AI platform architecture: camera and sensor inputs feed the edge intelligence engine, driving vitals monitoring, movement and mobility intelligence, and medical imaging modules — The EDGE HEALTH AI architecture — cameras and sensors in, clinical intelligence out.

Contactless Vitals

rPPG physiological monitoring from standard RGB cameras — no wearables, continuous, and comfortable for the patient.

Intelligent Ward Monitoring

AI-assisted observation across hospital wards: fewer manual rounds, earlier intervention.

Elderly Care & Assisted Living

Mobility, behavioural change, and fall prediction supporting independent living and the carers behind it.

Gait Analysis & Rehabilitation

Markerless assessment of walking patterns and recovery after orthopaedic or neurological procedures — objective measurements, not estimates.

Sports Science & Performance

Biomechanical analysis for performance and injury prevention — cricket, golf, football, and general human performance.

Imaging Intelligence

Deep-learning interpretation of medical imaging, from lesion recognition to diagnostic decision support.

Platform interfaces shown are representative demonstrations — client data and production dashboards remain confidential under NDA.