{"id":"https://openalex.org/W3001907690","doi":"https://doi.org/10.1109/icecs46596.2019.8965029","title":"Smart cameras everywhere: AI vision on edge with emerging memories","display_name":"Smart cameras everywhere: AI vision on edge with emerging memories","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3001907690","doi":"https://doi.org/10.1109/icecs46596.2019.8965029","mag":"3001907690"},"language":"en","primary_location":{"id":"doi:10.1109/icecs46596.2019.8965029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs46596.2019.8965029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017719665","display_name":"Alex Pappachen James","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102658","display_name":"Sami Labs (India)","ror":"https://ror.org/01cryga93","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210102658"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Alex James","raw_affiliation_strings":["Clootrack Pvt Ltd,Bangalore,India","Clootrack Pvt Ltd, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Clootrack Pvt Ltd,Bangalore,India","institution_ids":["https://openalex.org/I4210102658"]},{"raw_affiliation_string":"Clootrack Pvt Ltd, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008924272","display_name":"Georgios Ch. Sirakoulis","orcid":"https://orcid.org/0000-0001-8240-484X"},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Ch. Sirakoulis","raw_affiliation_strings":["Democritus University of Thrace,Electrical and Computer Engineering,Xanthi,Greece","Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece"],"affiliations":[{"raw_affiliation_string":"Democritus University of Thrace,Electrical and Computer Engineering,Xanthi,Greece","institution_ids":["https://openalex.org/I147962203"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece","institution_ids":["https://openalex.org/I147962203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0009-0002-3375-2877"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I162817326","display_name":"Indiana University \u2013 Purdue University Fort Wayne","ror":"https://ror.org/01jxzq227","country_code":"US","type":"education","lineage":["https://openalex.org/I162817326"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["Purdue University,Electrical and Computer Engineering,Indiana,USA","Electrical and Computer Engineering, Purdue University, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University,Electrical and Computer Engineering,Indiana,USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I219193219","https://openalex.org/I162817326"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Purdue University, Indiana, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017719665"],"corresponding_institution_ids":["https://openalex.org/I4210102658"],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.4952308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"422","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7907361388206482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6432844400405884},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5816001892089844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5633146166801453},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5307163000106812},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5298093557357788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5272820591926575},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.5027375221252441},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.49200937151908875},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4706054627895355},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4482724964618683},{"id":"https://openalex.org/keywords/smart-camera","display_name":"Smart camera","score":0.44789206981658936},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4343090057373047},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41372233629226685},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.36788949370384216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21026957035064697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1623065173625946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907361388206482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6432844400405884},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5816001892089844},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5633146166801453},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5307163000106812},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5298093557357788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5272820591926575},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.5027375221252441},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.49200937151908875},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4706054627895355},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4482724964618683},{"id":"https://openalex.org/C161334170","wikidata":"https://www.wikidata.org/wiki/Q1428778","display_name":"Smart camera","level":2,"score":0.44789206981658936},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4343090057373047},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41372233629226685},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.36788949370384216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21026957035064697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1623065173625946},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs46596.2019.8965029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs46596.2019.8965029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1981220134","https://openalex.org/W2588236721","https://openalex.org/W2625133503","https://openalex.org/W2747505027","https://openalex.org/W2756167909","https://openalex.org/W2760853086","https://openalex.org/W2765081478","https://openalex.org/W2769084511","https://openalex.org/W2783388432","https://openalex.org/W2793586828","https://openalex.org/W2794243109","https://openalex.org/W2794288888","https://openalex.org/W2798616445","https://openalex.org/W2800726847","https://openalex.org/W2802367674","https://openalex.org/W2809524490","https://openalex.org/W2812853021","https://openalex.org/W2884227506","https://openalex.org/W2885328924","https://openalex.org/W2892550733","https://openalex.org/W2909440114","https://openalex.org/W2944431751","https://openalex.org/W2945684349","https://openalex.org/W2962715917","https://openalex.org/W2997375145","https://openalex.org/W3099073033","https://openalex.org/W3105419323","https://openalex.org/W4240306535","https://openalex.org/W6753812351"],"related_works":["https://openalex.org/W2557461402","https://openalex.org/W2372904789","https://openalex.org/W2922421953","https://openalex.org/W2975200075","https://openalex.org/W1939557789","https://openalex.org/W2328068029","https://openalex.org/W2507763083","https://openalex.org/W2363840281","https://openalex.org/W1528044252","https://openalex.org/W2169723010"],"abstract_inverted_index":{"This":[0],"focus":[1],"paper":[2],"provides":[3],"an":[4],"overview":[5],"on":[6],"the":[7,57,68,91,106,109,115,162],"emerging":[8,142],"area":[9],"of":[10,22,46,108,132,165,169,177],"in-memory":[11],"neural":[12,23,42,111,126,170],"vision":[13,43,112,127,179],"chips":[14,44,128],"for":[15,40,173],"building":[16,41,166],"intelligent":[17,116],"cameras.":[18],"The":[19],"generalization":[20],"abilities":[21],"networks":[24,171],"and":[25,31,51,73,80,99,119,137,146,157],"their":[26],"close":[27],"proximity":[28],"to":[29,60,104,122],"eye":[30],"sensory":[32],"processing":[33,118,121],"units":[34],"in":[35,90],"human":[36,92],"brain":[37,93],"lays":[38],"foundations":[39],"capable":[45],"performing":[47],"object":[48,71],"detection,":[49],"classification,":[50],"predictions.":[52],"In":[53,139],"real-time":[54],"settings,":[55],"often":[56],"information":[58],"visible":[59],"a":[61,87,175],"camera":[62,77],"does":[63],"not":[64],"meaningfully":[65],"capture":[66],"all":[67],"relevant":[69],"context,":[70],"dynamics,":[72],"behaviors,":[74],"making":[75],"smart":[76],"solutions":[78],"complex":[79],"energy":[81,135],"hungry.":[82],"Learning":[83],"from":[84],"images":[85],"is":[86],"continuous":[88],"process":[89],"while":[94],"consuming":[95],"extremely":[96],"low":[97],"energy,":[98],"these":[100],"properties":[101],"have":[102],"proven":[103],"be":[105],"benchmarks":[107],"ideal":[110],"chips.":[113],"Offloading":[114],"data":[117],"image":[120],"edge":[123],"devices":[124],"using":[125],"offers":[129],"several":[130,167],"advantages":[131],"speed,":[133],"lower":[134],"costs,":[136],"security.":[138],"practice,":[140],"with":[141],"memory":[143,145],"arrays,":[144],"computing":[147],"become":[148],"indistinguishable":[149],"that":[150],"can":[151],"perform":[152,158],"dot-product":[153],"computations,":[154],"store":[155],"weights,":[156],"logic":[159],"operations":[160],"forming":[161],"basic":[163],"blocks":[164],"types":[168],"useful":[172],"solving":[174],"range":[176],"computer":[178],"problems.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
