Cargando…
Real-Time Underwater Image Recognition with FPGA Embedded System for Convolutional Neural Network
The underwater environment is still unknown for humans, so the high definition camera is an important tool for data acquisition at short distances underwater. Due to insufficient power, the image data collected by underwater submersible devices cannot be analyzed in real time. Based on the character...
Autores principales: | Zhao, Minghao, Hu, Chengquan, Wei, Fenglin, Wang, Kai, Wang, Chong, Jiang, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359710/ https://www.ncbi.nlm.nih.gov/pubmed/30654569 http://dx.doi.org/10.3390/s19020350 |
Ejemplares similares
-
Underwater Acoustic Target Recognition Based on Depthwise Separable Convolution Neural Networks
por: Hu, Gang, et al.
Publicado: (2021) -
Real-Time Sensor-Embedded Neural Network for Human Activity Recognition
por: Shakerian, Ali, et al.
Publicado: (2023) -
A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition
por: Yang, Honghui, et al.
Publicado: (2019) -
Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization
por: Khoyratee, Farad, et al.
Publicado: (2019) -
FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network
por: Mo, Zhuofeng, et al.
Publicado: (2021)