Precision engineering
at every layer.

SmartClinity's architecture combines embedded sensing, microcontroller intelligence, wireless connectivity, and cloud infrastructure — engineered to function reliably within demanding clinical environments.

Dual sensing architecture.

The SmartClinity clamp integrates two independent sensing modalities — enabling simultaneous measurement of fluid dynamics and fluid quality from outside the tube, without any contact with the clinical fluid stream.

Ultrasonic flow sensing Clamp-on transducers emit and receive ultrasonic pulses through the tube wall. Transit-time measurement yields continuous flow rate and accumulated volume — without interrupting flow or breaching sterility.
Optical / laser quality analysis A light-based module interrogates the fluid for optical density and spectral properties — providing a continuous fluid quality index indicating the presence and relative load of blood, pus, or other relevant substances. Used in drainage applications.
SENSING CROSS-SECTION FLUID ULTRASONIC OPTICAL / LASER FLOW RATE 12.4 mL/h QUALITY INDEX 0.23 / 1.00
DEVICE BLOCK DIAGRAM ESP32-C3 32-bit RISC-V · 160 MHz Wi-Fi · BLE · MQTT Ultrasonic Sensor Optical Module Power Mgmt Wi-Fi / MQTT Pinch Valve (drug admin only) Local Storage Cloud Platform

Integrated embedded intelligence.

The ESP32-C3 — a compact 32-bit RISC-V microcontroller — serves as the computational and communication core of the SmartClinity device. It orchestrates sensor data acquisition, local processing, and wireless data transmission.

MCU
ESP32-C3 · 32-bit RISC-V · 160 MHz
Connectivity
Wi-Fi 802.11 b/g/n · BLE 5.0
Protocol
MQTT over TLS · REST API ready
Control (drug admin)
PID closed-loop · pinch-valve actuation

Designed for clinical network environments.

Wi-Fi · Initial Layer

Connects seamlessly to existing hospital Wi-Fi infrastructure. No additional network hardware required for deployment.

MQTT · Streaming Protocol

Lightweight publish-subscribe messaging enables real-time data streaming from device to cloud with minimal overhead and high reliability.

Encrypted · Secure

All data transmission operates over TLS-encrypted channels. Clinical data remains protected from acquisition to storage.

From raw signal to clinical insight.

Data acquired at the device is streamed via MQTT to the cloud ingestion layer, where it is processed, stored, and surfaced through the clinical dashboard — with threshold-based alerting and full audit traceability.

View platform details
1
Device acquisition
~1–5 Hz sampling
2
MQTT publish
TLS encrypted
3
Cloud broker ingestion
Message queue
4
Processing & storage
Time-series DB
5
Dashboard visualisation
Web · Real-time
6
Threshold alerts
Configurable rules
Coming next · AI Intelligence Layer

Data that learns.
Intelligence that compounds.

As clinical data accumulates across devices and institutions, SmartClinity will progressively layer AI-enabled analytics into the platform — moving from monitoring to prediction, and from alerts to actionable clinical intelligence.

Anomaly detection on flow and quality signals
Predictive alerts before threshold breach events
Pattern recognition across drainage episodes
Interoperability with hospital information systems
AI CORE Anomaly Predict Pattern Interop FUTURE INTELLIGENCE LAYER

See how it's applied in practice.

Explore the two clinical applications built on the SmartClinity platform.