{"title":"基于神经计算棒的人脸识别系统2,CPU, GPU的比较","authors":"O. Aleksandrova, Y. Bashkov","doi":"10.1109/ATIT50783.2020.9349313","DOIUrl":null,"url":null,"abstract":"The most common approaches to face recognition are considered, the latest developments in this area are analyzed, an experiment is carried out on a face recognition system on the Neural Compute Stick 2, the conditions for its necessity are substantiated. The system also was tested on CPU and GPU, as well as system models separately to determine the conditions for increasing performance. The main result is the determination of the need for Neural Compute Stick 2 on personal computers, as well as the optimal conditions for the performance of the face recognition system. The need to use the Neural Compute Stick 2 only for low-performance devices is revealed. The tasks of further research are defined.","PeriodicalId":312916,"journal":{"name":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Face recognition systems based on Neural Compute Stick 2, CPU, GPU comparison\",\"authors\":\"O. Aleksandrova, Y. Bashkov\",\"doi\":\"10.1109/ATIT50783.2020.9349313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most common approaches to face recognition are considered, the latest developments in this area are analyzed, an experiment is carried out on a face recognition system on the Neural Compute Stick 2, the conditions for its necessity are substantiated. The system also was tested on CPU and GPU, as well as system models separately to determine the conditions for increasing performance. The main result is the determination of the need for Neural Compute Stick 2 on personal computers, as well as the optimal conditions for the performance of the face recognition system. The need to use the Neural Compute Stick 2 only for low-performance devices is revealed. The tasks of further research are defined.\",\"PeriodicalId\":312916,\"journal\":{\"name\":\"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATIT50783.2020.9349313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATIT50783.2020.9349313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face recognition systems based on Neural Compute Stick 2, CPU, GPU comparison
The most common approaches to face recognition are considered, the latest developments in this area are analyzed, an experiment is carried out on a face recognition system on the Neural Compute Stick 2, the conditions for its necessity are substantiated. The system also was tested on CPU and GPU, as well as system models separately to determine the conditions for increasing performance. The main result is the determination of the need for Neural Compute Stick 2 on personal computers, as well as the optimal conditions for the performance of the face recognition system. The need to use the Neural Compute Stick 2 only for low-performance devices is revealed. The tasks of further research are defined.