Jae-Woo Kim, C. I. Nwakanma, Dong-Seong Kim, Jae-Min Lee
{"title":"Intelligent Face Recognition on the Edge Computing using Neuromorphic Technology","authors":"Jae-Woo Kim, C. I. Nwakanma, Dong-Seong Kim, Jae-Min Lee","doi":"10.1109/ICOIN50884.2021.9333967","DOIUrl":null,"url":null,"abstract":"This paper discusses intelligent edge computing technology using neuromorphic technology. Neuromorphic is a technology that uses pure hardware to implement intelligent systems, unlike traditional methods of implementing intelligent systems in a software manner using CPU or GPU hardware. In this paper, intelligent edge computing technology was introduced using NeuroEdge, one of the devices using Neurologic technology, and the performance was verified through a face recognition test. Results showed that using neuromorphic technology such as the NM500 chip saves the time needed for training systems and does not impose the burden of requiring many datasets for effective training.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"35 1","pages":"514-516"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN50884.2021.9333967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper discusses intelligent edge computing technology using neuromorphic technology. Neuromorphic is a technology that uses pure hardware to implement intelligent systems, unlike traditional methods of implementing intelligent systems in a software manner using CPU or GPU hardware. In this paper, intelligent edge computing technology was introduced using NeuroEdge, one of the devices using Neurologic technology, and the performance was verified through a face recognition test. Results showed that using neuromorphic technology such as the NM500 chip saves the time needed for training systems and does not impose the burden of requiring many datasets for effective training.