{"title":"FPGA – Raspberry pi Interface for low cost IoT based image processing","authors":"Santosh Kumar, Madhu Shah, Arjun Singh","doi":"10.5958/2454-762X.2017.00034.8","DOIUrl":null,"url":null,"abstract":"Along with the introduction of Internet of Things (IoT), the design of image processing systems is reachable distantly by applications over the internet is the basic need of today's life. These systems are intended for important data applications must possess an original structural design for image filtering and processing. In this paper, we present an image processing system that is easily reached over the internet and is implemented using a Raspberry-Pi and FPGA interface. The realization of this system was completed by means of a low cost ZedBoard Zynq 7000 FPGA and a Raspberry-pi. Chip utilization has been noted.","PeriodicalId":14491,"journal":{"name":"Invertis Journal of Science & Technology","volume":"13 1","pages":"219-223"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Invertis Journal of Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5958/2454-762X.2017.00034.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Along with the introduction of Internet of Things (IoT), the design of image processing systems is reachable distantly by applications over the internet is the basic need of today's life. These systems are intended for important data applications must possess an original structural design for image filtering and processing. In this paper, we present an image processing system that is easily reached over the internet and is implemented using a Raspberry-Pi and FPGA interface. The realization of this system was completed by means of a low cost ZedBoard Zynq 7000 FPGA and a Raspberry-pi. Chip utilization has been noted.