J. Skribanowitz, T. Knobloch, J. Schreiter, A. Konig
{"title":"VLSI implementation of an application-specific vision chip for overtake monitoring, real time eye tracking, and automated visual inspection","authors":"J. Skribanowitz, T. Knobloch, J. Schreiter, A. Konig","doi":"10.1109/MN.1999.758845","DOIUrl":null,"url":null,"abstract":"With regard to application-specific constraints such as size, power consumption, and price, many real time vision tasks are still too demanding for today's state-of-the-art hardware. This is especially true for purely digital hardware systems. As an interesting alternative, we investigated the implementation of smart vision algorithms by an application-specific vision chip featuring combined analog and digital processing. The analog part implements computationally intensive operations in a massively parallel array, which allows to realize the remaining operations by a reduced complexity dedicated digital processor. This paper reports on the systematic design and VLSI implementation of dedicated vision chips for automotive image processing, eye tracking, and visual inspection.","PeriodicalId":191273,"journal":{"name":"Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MN.1999.758845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
With regard to application-specific constraints such as size, power consumption, and price, many real time vision tasks are still too demanding for today's state-of-the-art hardware. This is especially true for purely digital hardware systems. As an interesting alternative, we investigated the implementation of smart vision algorithms by an application-specific vision chip featuring combined analog and digital processing. The analog part implements computationally intensive operations in a massively parallel array, which allows to realize the remaining operations by a reduced complexity dedicated digital processor. This paper reports on the systematic design and VLSI implementation of dedicated vision chips for automotive image processing, eye tracking, and visual inspection.