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Unlike the standard fire detection systems, the fire detector faces many problems regarding the scene and the background of the video image. Thus, it is not guaranteed that a fire will be detected in all the circumstances. The fire detector should be considered as a system that increases the fire detection possibilities. Thereby, there can still be false alarms and situations when the detector does not react to real cases of fire in the video camera FOV.

At the same time, the fire detector is based on a neural network, which main principle is learnability.

If the fire detector does not react to real cases of fire in the video camera FOV, we suggest you record the video and send it to AxxonSoft. We will train the neural network based on the provided video, the detector pack will be updated, and future detectors operation under the similar conditions will be optimal.