{"id":"https://openalex.org/W4404953583","doi":"https://doi.org/10.1109/latincom62985.2024.10770682","title":"Performance Evaluation of Edge Computing Object Detection Models for Maritime Surveillance on a Raspberry Pi","display_name":"Performance Evaluation of Edge Computing Object Detection Models for Maritime Surveillance on a Raspberry Pi","publication_year":2024,"publication_date":"2024-11-06","ids":{"openalex":"https://openalex.org/W4404953583","doi":"https://doi.org/10.1109/latincom62985.2024.10770682"},"language":"en","primary_location":{"id":"doi:10.1109/latincom62985.2024.10770682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom62985.2024.10770682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5106634501","display_name":"Hyago V. L. B. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I71346753","display_name":"National Institute of Telecommunications","ror":"https://ror.org/0378w3a30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I71346753"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hyago V. L. B. Silva","raw_affiliation_strings":["Instituto Nacional de Telecomunicações - Inatel,Santa Rita do Sapucaí,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Telecomunicações - Inatel,Santa Rita do Sapucaí,Brazil","institution_ids":["https://openalex.org/I71346753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017715993","display_name":"Felipe A. P. de Figueiredo","orcid":"https://orcid.org/0000-0002-2167-7286"},"institutions":[{"id":"https://openalex.org/I71346753","display_name":"National Institute of Telecommunications","ror":"https://ror.org/0378w3a30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I71346753"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe A. P. de Figueiredo","raw_affiliation_strings":["Instituto Nacional de Telecomunicações - Inatel,Santa Rita do Sapucaí,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Telecomunicações - Inatel,Santa Rita do Sapucaí,Brazil","institution_ids":["https://openalex.org/I71346753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028331826","display_name":"Samuel Mafra","orcid":"https://orcid.org/0000-0002-5238-1795"},"institutions":[{"id":"https://openalex.org/I71346753","display_name":"National Institute of Telecommunications","ror":"https://ror.org/0378w3a30","country_code":"BR","type":"facility","lineage":["https://openalex.org/I71346753"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Samuel B. Mafra","raw_affiliation_strings":["Instituto Nacional de Telecomunicações - Inatel,Santa Rita do Sapucaí,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Telecomunicações - Inatel,Santa Rita do Sapucaí,Brazil","institution_ids":["https://openalex.org/I71346753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71346753"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/raspberry-pi","display_name":"Raspberry pi","score":0.9452770948410034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673821210861206},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5565928220748901},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5317655205726624},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4549930989742279},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.44059619307518005},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.26518893241882324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23794838786125183},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.15355819463729858},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.08600109815597534}],"concepts":[{"id":"https://openalex.org/C2985745059","wikidata":"https://www.wikidata.org/wiki/Q245","display_name":"Raspberry pi","level":3,"score":0.9452770948410034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673821210861206},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5565928220748901},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5317655205726624},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4549930989742279},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.44059619307518005},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26518893241882324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23794838786125183},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.15355819463729858},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.08600109815597534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom62985.2024.10770682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom62985.2024.10770682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308239","display_name":"EMI","ror":"https://ror.org/01qstkr73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2945331861","https://openalex.org/W2963163009","https://openalex.org/W3095690164","https://openalex.org/W3158943649","https://openalex.org/W3212820708","https://openalex.org/W4229658977","https://openalex.org/W4285030326","https://openalex.org/W4285343920","https://openalex.org/W4295413185","https://openalex.org/W4308342181","https://openalex.org/W4308516693","https://openalex.org/W4310921901","https://openalex.org/W4382135753","https://openalex.org/W4387942953","https://openalex.org/W4388731573","https://openalex.org/W4389101969","https://openalex.org/W6841297489","https://openalex.org/W6842820794","https://openalex.org/W6846498627","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W4313320040","https://openalex.org/W4289357384","https://openalex.org/W2753725918","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2914646191","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"The":[0],"exponential":[1],"growth":[2],"of":[3,29,42,93,169],"maritime":[4,30,50,65,145],"traffic":[5],"has":[6],"introduced":[7],"significant":[8],"business":[9],"opportunities":[10],"while":[11],"also":[12],"posing":[13],"unprecedented":[14],"challenges":[15],"for":[16,23,74,124,142],"surveillance.":[17],"Human-based":[18],"surveillance":[19,146],"is":[20,90,102],"increasingly":[21],"inadequate":[22],"managing":[24],"the":[25,70,136,177],"volume":[26],"and":[27,57,80,96,107,120,129,156],"complexity":[28],"activities,":[31],"necessitating":[32],"innovative":[33],"solutions.":[34],"Therefore,":[35],"this":[36,67,159],"study":[37,132,160],"presents":[38],"a":[39,115,162],"comparative":[40],"analysis":[41],"five":[43],"prominent":[44],"object":[45,139],"detection":[46,140],"models":[47],"applied":[48],"to":[49,134,176],"surveillance:":[51],"FOMO,":[52],"MobileNetV2":[53],"SSD,":[54],"YOLOv5,":[55],"YOLOv8,":[56],"YOLOv10.":[58],"By":[59],"evaluating":[60],"their":[61],"performance":[62,128],"metrics":[63],"in":[64,83],"environments,":[66],"research":[68],"identifies":[69],"most":[71,137],"suitable":[72,123],"model":[73,141],"specific":[75],"applications.":[76],"For":[77],"instance,":[78],"YOLOv8n":[79],"YOLOv10n":[81],"excel":[82],"accuracy,":[84],"making":[85],"them":[86],"ideal":[87],"when":[88,104],"precision":[89],"paramount,":[91],"irrespective":[92],"inference":[94,109,121],"time":[95],"resource":[97,105],"consumption.":[98],"In":[99],"contrast,":[100],"FOMO":[101],"preferable":[103],"efficiency":[106],"shorter":[108],"times":[110],"are":[111],"critical.":[112],"YOLOv5n":[113],"offers":[114],"balanced":[116],"approach":[117],"between":[118],"accuracy":[119],"speed,":[122],"scenarios":[125],"requiring":[126],"both":[127],"efficiency.":[130],"This":[131],"aims":[133],"identify":[135],"appropriate":[138],"an":[143],"IoT-based":[144],"application":[147],"focused":[148],"on":[149],"vessel":[150],"detection,":[151],"thereby":[152],"enhancing":[153],"operational":[154],"effectiveness":[155],"decision-making.":[157],"Additionally,":[158],"proposes":[161],"novel":[163],"dataset":[164],"with":[165],"4,998":[166],"annotated":[167],"images":[168],"10":[170],"different":[171],"ship":[172],"classes,":[173],"further":[174],"contributing":[175],"field.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}