A fire hazard is something we always want to avoid as it causes loss of life and damage to property. Fire is a strong element of destruction. Fortunately, an up to date fire safety plan can help us completely avoid fire hazards. To tackle the possibility of a fire incident, efficiently designed fire fighting systems should be installed at the establishment. A good fire fighting system covers three tasks – Fire Detection, Fire Alarm & Fire Suppression. It is a network of fire & smoke detectors, fire alarms, evacuation lighting, fire sprinklers, fire extinguishers, and hose pipes. Almost every fire fighting system needs to be customized as per the plan of the establishment. It turns out to be a complex setup but it is essential for the safety of the people and also property.

Fire fighting systems need to be checked regularly to ensure their proper functioning at the time of a fire hazard. Imagine the worst-case scenario where the fire fighting system is unable to respond to a fire outbreak. That negates the whole effort put into setting up a fire fighting system in the first place. To avoid such an event, it is necessary to audit the fire fighting systems at regular intervals and make sure that all meters are stable and the mechanism is responding to a fire breakout. Going a step further, human error during the audit of fire fighting systems is also a possibility. What we need is an automated system that constantly audits itself and raises an alert when it finds any issue in the system. Acufire’s Safe Haven IoT is a deep learning algorithm that is an IoT-based auto testing and feedback system for fire safety installations. It regularly tests all fire fighting systems and also checks various parameters such as water level, fuel level, etc.