YOLO-R Based Mask Recognition System with Winograd Convolution Acceleration Chip
2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2191942
ABSTRACT
In this paper, we proposed 'YOLO-R based mask recognition system with Winograd convolution acceleration chip.' In order to prevent the spread of COVID-19, we proposed a mask recognition system based on YOLO-R that adopted the CSP backbone architecture and used prediction refinement to predict, optimize, and obtain high recognition results. In addition, we designed the Winograd convolution acceleration chip to accelerate the operation of the YOLO-R neural network, so that the system can achieve real-time computing. © 2022 IEEE.
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Database:
Scopus
Language:
English
Journal:
2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022
Year:
2022
Document Type:
Article
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