EMoS Published: Fire Detection System

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EMoS Published: Fire Detection System

Fire Detection System

1st cohort EMoS students Hillary Rambo, Philemon Rotich and Anna Geofrey have made a notable contribution by publishing their research work on Early Fire Detection System in Tanzania Markets in Engineering Proceedings. The work was supervised by the @CENIT@EA technical coordinator, Dr. Anael Sam.

The work applies wireless sensor networks (WSN) and Internet of Things (IoT) to provide real-time monitoring of fire outbreak in markets. The system integrates three subsystems namely: sensing sub-system which uses multiple sensors for detecting fire outbreaks., data processing subsystem which collects data from the sensing subsystem through Xbee, analyses, and uploads data to the cloud.

If values exceed the sensor threshold, an alarm is triggered and notification is sent to stakeholders via mobile application subsystem. The integration between sensing, data processing, and mobile application subsystems pave a new way for the mitigation of fire outbreaks at its early stage.