Hardware Module Design and Software Implementation of Multisensor Fire Detection and Notification System Using Fuzzy Logic and Convolutional Neural Networks (CNNs)
Table 7
Performance evaluation of subsystem modules.
Subsystem
Performance remarks
Microcontroller unit
100%
The microcontroller works all the time
GSM module unit
80%
GSM mobile is not always reliable due to network problems and power requirement issues
Sensor unit
80%
Sensor data spikes sometimes lead to unreliable data from the sensors
Convolutional neural network
94%
The CNN unit works as expected to provide high accuracy levels for detected fires from video feeds
Fuzzy logic system
90%
Due to test setup constraints, the extensive fire test could not be conducted, hence the incorporation of the surveillance camera hardware system for broader area coverage
