DEVELOPING A VOICE-DIRECTED FIRE ALARM SYSTEM USING ARDUINO MICROCONTROLLER

Most of the traditional fire alarms function by blaring alarm sounds to warn those in the building. Still, they do not inform people regarding detailed information about a fire's location and directions to escape from the building. In many cases, people in burning buildings often become lost or trapped; some even run towards the fire, resulting in severe injuries and fatalities. Because current fire alarm systems fail to deliver accurate instructions about avoiding the fire, the location of the fire, or the severity of the fire, many scientists have attempted to develop a better alarm system to prevent unnecessary casualties. The objective of this study was to create a voice-directed fire alarm system using an Arduino microcontroller installed with multiple flames, carbon monoxide, temperature, and light sensors. These sensors were connected to an Arduino board with a wave shield, allowing us to activate the voice message with audial tones and information regarding the location of hazard and the degree of burning situations. Based on a dry run test, the voice-directing system was able to guide people with higher efficiency than the traditional fire alarm. More study might be needed, considering the importance of early alert with accurate information using various sensors.