All SmartQR diagnostics are device-agnostic, meaning they work seamlessly with a wide range of smartphones. The phone’s camera acts as an analytical sensor, scanning the test strip. The captured image is then processed in real time to extract quantitative data, turning any smartphone into a portable diagnostic lab.

Using advanced computer vision and machine learning algorithms, SmartQR's platform analyzes the scanned test strip to detect colorimetric and structural changes with precision beyond the human eye. The AI is trained on extensive datasets to ensure consistent accuracy across different lighting conditions, phone models, and sample types.

Once data is processed, it is securely uploaded to the SmartQR cloud (when connectivity allows). This enables:
Centralized health record management
Epidemiological insights and population health tracking
Real-time dashboards for public health authorities
Offline capability ensures that diagnostics can still be performed in no-network zones, with results stored locally until syncing is possible.

Each diagnostic platform—whether HemoQR, PrePAPQR, INGENE, or UroQR—shares a modular backend. This reduces infrastructure burden, allows fast rollouts, and simplifies integration into hospitals, clinics, and public health programs.

Data handling within the SmartQR ecosystem follows industry-standard encryption protocols and complies with HIPAA, NDHM, and other relevant data protection guidelines. User data is anonymized and used only for authorized medical and research purposes.