The maximal detection distance typically depends on many factors, such as camera resolution, amount of the visible smoke, illumination, etc. In general, the detection is more reliable if the event instance is taking up more than 5% of the height of the frame.
Scylla provides situational awareness, especially in areas not covered by smoke detectors, such as outdoor areas and car parks, on cameras installed at remote locations with limited network connectivity. It is trained not to be sensitive to several sources of false positives like the sun, clouds, lights at night, etc. So that you could focus on what actually matters.
Scylla Smoke & Fire detection module boasts an outstanding accuracy of up to 98.5%. To avoid false alarms, the system has been specifically trained to distinguish between smoke and fog.
Scylla's solutions utilize computer vision and AI to detect a variety of hazardous environments at a distance. That is why the system could be installed both indoors and outdoors and detect a fire at its earliest stage quicker compared to most conventional sensors. Since the system is vision-based, it eliminates the need for regular and time-intensive turnarounds compared to conventional sensors. Combining several types of fire and smoke detectors and giving the operator additional visual control augments the reliability of your fire detection capabilities.
The ability to detect the smoke from a cigarette (and any other object) will depend on the size of the smoke instance which in turn will depend on the distance from the camera. Thus if the person is in the proximity and the cigarette smoke occupies over 5% of the camera view, the system will detect the smoke.
Yes, explosions are one of the primary cases that the system detects.
Scylla Smoke & Fire is designed to be used both indoors and outdoors.
No, Scylla is not using thermal cameras for smoke & fire detection.