Methods to Reduce the Occurrence of False Alarms using Voice Recognition Technology

Early detection is of paramount importance in the prevention of massive fire outbreaks, as are analyzing the nature of the fires. Methods/Statistical Analysis Fire alarms play a key role in extinguishing fires. The system proposed in this study utilizes sensors and speech recognition to directly or indirectly detect fires in a step-by-step manner. Data from the sensors are compiled into a fire data that is wirelessly shared thereby allowing an earlier extinguishment, while image processing is used to reduce the frequency of false alarms. Findings The invention of fire alarms has greatly contributed to reducing fire damage. However in recent years the difference in owning an alarm and not have become minimal. The system proposed in this study overcomes the physical limits of existing isolated alarm systems by using wireless connection and speech recognition technology to supplement the shortcomings of sensors and allowing era-time transmission of information about the fire. Furthermore, when signs of a fire are detected the fire alarm films images and videos that provide an insight into the situation. Through this a fire alarm system is created that increases the speed and accuracy of fires being extinguished. Application/Improvements A systematic fire alarm system can increase the speed at which a fire is observed and action is taken. It can also provide the foundation upon which another disaster system can be created.