Angel Hernández, Francisco Ornelas, Juan Hurtado, Joel González
{"title":"Face recognition in office environments with Google AIY Vision Kit","authors":"Angel Hernández, Francisco Ornelas, Juan Hurtado, Joel González","doi":"10.1109/iCASAT48251.2019.9069514","DOIUrl":null,"url":null,"abstract":"The following document shows the design, development, and implementation of a computer vision system for face detection through convolutional neural networks. This system was first developed on a PC and then implemented in an embedded system such as the Google AIY Vision Kit; This kit is a powerful tool for working with machine and deep learning, as well as having an affordable cost. The main application of this system is for the surveillance of places with restricted access, such as laboratories, warehouses, offices. The methodology for the development of this system was: design the network, obtain a database for training, train the network, and test the performance of the system.","PeriodicalId":178628,"journal":{"name":"2019 IEEE International Conference on Applied Science and Advanced Technology (iCASAT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Applied Science and Advanced Technology (iCASAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCASAT48251.2019.9069514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The following document shows the design, development, and implementation of a computer vision system for face detection through convolutional neural networks. This system was first developed on a PC and then implemented in an embedded system such as the Google AIY Vision Kit; This kit is a powerful tool for working with machine and deep learning, as well as having an affordable cost. The main application of this system is for the surveillance of places with restricted access, such as laboratories, warehouses, offices. The methodology for the development of this system was: design the network, obtain a database for training, train the network, and test the performance of the system.