IoT-Integrated Self-Service Health Kiosk
Connecting physical measurements to a digital experience. A Raspberry Pi-based exploration of accessible, self-service health technology.
Health, connected.
An IoT-integrated Raspberry Pi-based system for vital signs and anthropometric measurement, bringing together hardware sensors, software integration, and web dashboards.
The problem
Measurements collected across separate devices can be difficult to bring into a coherent digital workflow. This project explores the connection between physical sensing and a readable web interface.
The solution
Integrate sensors with a Raspberry Pi and present the collected information through a web dashboard. The design focus is a clear path from measurement to understandable information.
Technology & scope
What it brings together.
- 01Vital signs measurement
- 02Anthropometric measurement
- 03Hardware and software integration
- 04Web-based measurement presentation
The pieces.
The connections.
A conceptual view of the project’s main components and how they connect.
- 01Sensor inputs
- 02Raspberry Pi
- 03Integration layer
- 04Web dashboard↗
Visualizing the idea.
Questions worth solving.
Key engineering considerations for the project.
- Coordinating sensor input and application state.
- Designing a measurement workflow that communicates device status clearly.
- Defining validation and privacy requirements before using any real health data.