Z. Jeffrey, X. Zhai, F. Bensaali, R. Sotudeh, A. Ariyaeeinia
{"title":"Automatic number plate recognition system on an ARM-DSP and FPGA heterogeneous SoC platforms","authors":"Z. Jeffrey, X. Zhai, F. Bensaali, R. Sotudeh, A. Ariyaeeinia","doi":"10.1109/HOTCHIPS.2013.7478331","DOIUrl":null,"url":null,"abstract":"The ARM-DSP based ANPR system described is designed for commercial applications where the need for low power, low prices and real time systems is vital. A single FPGA can also be added as a plug-in to the ARM-DSP based hardware SoC, depending on the extra resources needed for the application. The overall results have shown that it is possible to use cheaper off-the-shelf ARM-DSPs and FPGAs multicore processors for standalone ANPR systems through device and algorithm optimisation to achieve real-time performance at higher recognition rate using efficient algorithms.","PeriodicalId":253292,"journal":{"name":"2013 IEEE Hot Chips 25 Symposium (HCS)","volume":"456 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Hot Chips 25 Symposium (HCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOTCHIPS.2013.7478331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The ARM-DSP based ANPR system described is designed for commercial applications where the need for low power, low prices and real time systems is vital. A single FPGA can also be added as a plug-in to the ARM-DSP based hardware SoC, depending on the extra resources needed for the application. The overall results have shown that it is possible to use cheaper off-the-shelf ARM-DSPs and FPGAs multicore processors for standalone ANPR systems through device and algorithm optimisation to achieve real-time performance at higher recognition rate using efficient algorithms.