An automatic fire detection system based on deep convolutional neural networks for low-power, resource-constrained devices.
Pedro Vinícius A. B. de VenâncioAdriano Chaves LisboaAdriano V. BarbosaPublished in: Neural Comput. Appl. (2022)
Keyphrases
- low power
- resource constrained
- convolutional neural networks
- low cost
- power consumption
- embedded systems
- low power consumption
- high speed
- rfid tags
- wireless sensor networks
- resource constraints
- sensor networks
- security mechanisms
- single chip
- vlsi circuits
- logic circuits
- vlsi architecture
- real time
- digital signal processing
- convolutional network
- gate array
- cmos technology
- multipath
- mixed signal
- mobile devices
- image sensor
- sensor nodes
- cost effective
- feature extraction
- image sequences