Track: Artificial Intelligence

Abstract

Safer workplaces result in fewer accidents, which reduces occupational health expenses, improves employee retention and satisfaction, reduces employee downtime, and shortens retraining periods. Every person in the work sector desires to work in a safe and secure environment. Unfortunately, fire is one of the main problems in our workplace safety; even most industries don’t have a better fire detection system. This research is based on a fire detection system and modeling to send the data in the shortest time to the nearest fire brigade. Poor vision is a typical obstacle for fire personnel while a rescue effort is underway in an area covered in flames and smoke. It becomes harder to detect obstacles such as doors, staircases, and other impediments in their line of rescue, delaying the execution of the rescue operation. When a person's life is in jeopardy, such considerations are more troubling. Even sometimes, the fire brigade doesn’t get information about incidents; they get the information lately. The suggested model focuses on a system capable of Real-Time Fire Detection. Using an artificial intelligence-based fire detection system, the immediate single will be sent to the workplace authority and start the alarm. Data will be sent to the nearest fire brigade when the fire intensity area is very high. This process is also applicable to residential areas, schools, hospitals, etc.