Camera requirements for the Fire detection and Smoke detection modules


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

The Fire detection and Smoke detection modules is configured similar and as follows:

  1. Go to the appropriate detector object's control panel.

  2. In the Skip repeated recognitions, sec field (1) enter the time period in seconds during which the repeated recognitions of the ignition/smoke will be ignored.

    For example, if 5 seconds is set for the Time in seconds between processed frames parameter, and there is a fire/smoke on the image during a longer period of time, then in order to avoid receiving messages of ignition/smoke from the detector every 5 seconds, set a higher value for the Skip repeated recognitions, sec parameter (for example, 10 seconds). In this case, only one message about the ignition/smoke will be displayed, and all the repeated recognitions will not be displayed in the Event viewer until the time interval between the recognitions of the ignition/smoke becomes longer than 10 seconds.


  3. In the Detection sensitivity: 0..100 field (2) enter the sensitivity of detection – integer value from 0 to 100. This parameter has an impact on sufficient probability of fire/smoke recognition for alarm.

    For example, if sensitivity is 0, than frame on which fire/smoke is recognized with certainty more than 95% will be alarming. If sensitivity is 100, than frame with 50% certainty of fire/smoke recognition will be alarming.


  4. In the Time in seconds between processed frames field (3) enter the time period in seconds separating frames used by algorithm for fire/smoke analysis. This parameter has an impact on processor capacity: the less the parameter, the more capacity. Also it has an impact on operation speed of algorithm: the less distance between frames. the faster required number of frames will be collected for decision and alarm, if it's required.

  5. In the Number of frames for analysis and output field (4) enter minimum number of frames for detection analysis before alarm generating. The more the value, the more certain the result of detection operation. At the same time, if value is too large, the short-time fire/smoke can be missed.

    Multiplication of Time in seconds between processed frames * Number of frames for analysis and output parameters characterizes time period (in seconds) at the end of which after fire/smoke alarm will be triggered.


  6. In the Device drop-down list (5), select the device on which the fire/smoke detection will operate:
    1. Auto - automatic device selection.
    2. CPU - Central Processing Unit from Intel (not recommended).
    3. Nvidia GPU (depends on the number of Nvidia graphics cards installed).
  7. Specify the detection surveillance area on the video image:
    1. Click the Setup button (6). The Detection settings window will open.
    2. Click the Stop video button to capture the video image (1).
    3. Click the Area of interest button (2).
    4. Specify area on which fire/smoke recognition will be detected (3).
    5. Click the OK button (4).
  8. Click the Apply button (7).

Configuring the Fire detection and Smoke detection modules is complete.