Success case

Utilizing Raspberry Pi-powered HMI reTerminal for Fall Detection System across Industries

Project Summary This fall detection alert system project aims to use the Seeed Studio reTerminal

Industry
Healthcare, Industrial Safety, Elder Care
Application
Fall event monitoring

Project background and needs

This is a multi-industry fall detection example: reTerminal integrates sensors, machine learning, and real-time communication to trigger fall alerts in healthcare, industrial safety, and elder care settings.

Real-time processing and accuracy

  • The system needs to process sensor data in real time.
  • Detection algorithms also need to reduce false alarms.

Needs to integrate real-time processing with fall-recognition algorithms.

Operation and notification

  • The monitoring and configuration interface needs to be intuitive.
  • The system also needs immediate alerts and integration with existing safety infrastructure.

Needs integrated interaction, notification, and system connectivity.

Solution and architecture

On-device detection

reTerminal's Raspberry Pi CM4 processes sensor data, and machine learning algorithms identify fall events.

Interaction and alerts

A touchscreen interface supports monitoring and configuration, and the communication module triggers alerts after an event is detected.

Solution components

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