Enter Your Basic Health Profile
Patients provide a few quick data points — gender, birth year, height, weight, and usual blood pressure range. This baseline data personalises the measurement and improves accuracy.
Our AI-powered platform detects heart rate, blood pressure, SpO2, and 10+ health metrics through a standard camera in under 60 seconds — no sensors, no skin contact, no additional hardware required.
Getting started doesn't require complex hardware or lengthy onboarding. Our platform guides patients and providers through a simple process that delivers clinical-grade insights in under a minute.
Patients provide a few quick data points — gender, birth year, height, weight, and usual blood pressure range. This baseline data personalises the measurement and improves accuracy.
Using the front-facing camera on any smartphone, tablet, laptop, or kiosk, the system performs a non-invasive facial scan. No skin contact required — patients simply look at the screen.
Within seconds of the scan completing, a comprehensive report is generated — displaying key vital signs, wellness indicators, and actionable health insights on screen.
At the heart of our platform is a patented approach to facial vital signs detection built on remote photoplethysmography (rPPG) — the science of reading physiological signals through light.
When blood flows through the vessels beneath the skin, it causes subtle, imperceptible changes in facial skin colour with every heartbeat. Our deep learning models, trained on millions of diverse patient data points, detect and analyse these micro-variations in real time through an ordinary RGB camera — no special sensors required.
Our models are trained on diverse datasets spanning different skin tones, ages, lighting conditions, and camera types — ensuring consistent, reliable results across the full patient population. Measurement accuracy is independently validated against leading healthcare regulatory standards.
Unlike traditional monitoring tools that require wearable sensors or physical contact, our engine runs entirely in software — lower deployment cost, zero consumables, and a patient experience that requires no setup, no training, and no additional hardware.
Signal Processing Pipeline
< 15ms LatencyA comprehensive panel of health parameters in a single scan — giving clinicians, patients, and platform operators a rich, multidimensional view of cardiovascular and overall health.
Core Vital Signs
Beats per minute, measured with clinical-grade precision.
Breaths per minute via thoracic movement analysis.
Systolic and diastolic estimation without a cuff.
Percentage of oxygenated haemoglobin in the bloodstream.
Variations in the interval between consecutive heartbeats.
Advanced Health Indicators
Detection of irregular heart rhythm patterns.
Autonomic nervous system load derived from HRV analysis.
Whether the heart is performing younger or older than chronological age.
Likelihood of stroke or cardiac event based on measured parameters.
How heart function aligns with patterns across different BMI ranges.
Deploy instant contactless vital signs capture across clinics, virtual telehealth visits, workplace wellness kiosks, and insurance risk assessment.
Telehealth
01
Bring objective vital data into every remote consultation — without asking patients to buy additional devices. Triage accuracy improves, and clinician confidence grows.
Clinical Care
02
Deploy contactless triage at reception, in waiting areas, or at the bedside — freeing up clinical staff and reducing the risk of cross-contamination.
Underwriting
03
Capture real-time biometric data to support dynamic risk profiling, health-linked premium structures, and preventive engagement at scale.
Enterprise
04
Integrate daily health checks into employee workflows via standard laptop cameras — surfacing cardiovascular risk, burnout, or poor sleep at a population level.
Home Health
05
Empower patients to track their own health between clinic visits using nothing more than a smartphone — with zero hardware distribution costs.
Validation studies confirm performance comparable to traditional contact-based devices across heart rate, respiratory rate, and blood pressure.
No wearables, no finger clips, no chest straps. The entire measurement runs through software, using the camera already built into the device.
Hardware-agnostic — runs on smartphones, tablets, laptops, desktop webcams, smart kiosks, and embedded boards.
No facial images are stored. No biometric data is retained beyond the measurement session — simplifying HIPAA, GDPR, and regional compliance.
For deployments where data must remain on-device, our AI models can run directly on the measurement device without cloud dependency.
Integrate via SDK (iOS, Android, Web) or REST API in days, not months — with sandbox environments and dedicated integration support.
Directly embed contactless biometric intelligence into iOS, Android, web browsers, telehealth consultations, or clinical EMR infrastructure with enterprise SDKs and high-throughput APIs.
Native SDKs for iOS, Android, and Web (JavaScript/React) give your development team full control over the measurement UI, camera streams, and telemetry pipeline.
// 1. Initialize optical rPPG scan engine const sensor = await Doccure.initCamera({ fps: 60, resolution: '1080p', signalSmoothing: true }); // 2. Stream real-time clinical biomarkers sensor.onVitalsUpdate((vitals) => { console.log(vitals.hr, vitals.spo2, vitals.bp); });
For server-side or cloud deployments, our high-throughput REST API enables asynchronous video stream processing and real-time webhook dispatch into your EHR/EMR platforms.
curl -X POST https://api.doccure.io/v2/telemetry \ -H "Authorization: Bearer dcc_live_sec_key" \ -H "Content-Type: application/json" \ -d '{ "patient_id": "PT_90241", "video_stream": "rtmp://live.doccure.io/scan", "webhook_url": "https://your-emr.com/hook" }'
Fully managed, auto-scaling infrastructure with 99.9% uptime SLA.
Deploy within your own data centre or hospital network for maximum data sovereignty.
Run AI inference directly on the measurement device — no internet connection required.
Combine edge measurement with cloud analytics for the best of both architectures.
major telehealth platforms, EMR and EHR systems, wellness apps, health insurance platforms, hospital information systems, and smart kiosk operating environments.
Clinical validation studies demonstrate high correlation with reference medical equipment, achieving 98%+ agreement for heart rate and within clinical limits for blood pressure and oxygen saturation.
No. The platform processes video frames in real-time memory to extract PPG signals and immediately discards the visual data. No video or facial biometric images are saved or transmitted.
The system operates using standard RGB webcams (720p or higher) under normal indoor ambient lighting. Advanced algorithms compensate for motion artifact and variable light.
WhatsApp us