Injun Park, W. Jo, Chanmin Park, Byungchoul Park, Jimin Cheon, Youngcheol Chae
{"title":"A 640×640 Fully Dynamic CMOS Image Sensor for Always-On Object Recognition","authors":"Injun Park, W. Jo, Chanmin Park, Byungchoul Park, Jimin Cheon, Youngcheol Chae","doi":"10.23919/VLSIC.2019.8778169","DOIUrl":null,"url":null,"abstract":"This paper presents a $640\\times 640$ fully dynamic CMOS image sensor for always-on object recognition. A pixel output is sampled with a dynamic source follower (SF) into a parasitic column capacitor, which is readout by a dynamic single-slope (SS) ADC based on a dynamic bias comparator and an energy-efficient two-step counter. The sensor, implemented in a 0.11μm CMOS, achieves 0.3% peak non-linearity, 6.8$e_{rms}^{-}$ RN and 67dB DR. Its power consumption is only 2.1mW at 44fps and is further reduced to 260μW at 15fps with sub-sampled 320 × 320 mode. This work achieves the state-of-the-art energy-efficiency FoM of 0.7$e^{-}\\cdot$ nJ.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"40 1","pages":"C214-C215"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Symposium on VLSI Circuits","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSIC.2019.8778169","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
This paper presents a $640\times 640$ fully dynamic CMOS image sensor for always-on object recognition. A pixel output is sampled with a dynamic source follower (SF) into a parasitic column capacitor, which is readout by a dynamic single-slope (SS) ADC based on a dynamic bias comparator and an energy-efficient two-step counter. The sensor, implemented in a 0.11μm CMOS, achieves 0.3% peak non-linearity, 6.8$e_{rms}^{-}$ RN and 67dB DR. Its power consumption is only 2.1mW at 44fps and is further reduced to 260μW at 15fps with sub-sampled 320 × 320 mode. This work achieves the state-of-the-art energy-efficiency FoM of 0.7$e^{-}\cdot$ nJ.