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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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Full text: Available Collection: Databases of international organizations 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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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022 Year: 2022 Document Type: Article