{"id":"https://openalex.org/W4415744787","doi":"https://doi.org/10.1109/icees67011.2025.11212942","title":"Real-Time Object Detection Enhancement Using ESPCN with ISA on Edge Devices","display_name":"Real-Time Object Detection Enhancement Using ESPCN with ISA on Edge Devices","publication_year":2025,"publication_date":"2025-08-21","ids":{"openalex":"https://openalex.org/W4415744787","doi":"https://doi.org/10.1109/icees67011.2025.11212942"},"language":null,"primary_location":{"id":"doi:10.1109/icees67011.2025.11212942","doi":"https://doi.org/10.1109/icees67011.2025.11212942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icees67011.2025.11212942","pdf_url":null,"source":{"id":"https://openalex.org/S7407086565","display_name":"International Conference on Electrical Energy Systems (ICEES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Electrical Energy Systems (ICEES)","raw_type":"proceedings-article"},"volume":null,"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/A5068267454","display_name":"E. Terence","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Terence","raw_affiliation_strings":["Hindustan Institute of Technology & Science,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan Institute of Technology & Science,Chennai,India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120207218","display_name":"C N Suriya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suriya C N","raw_affiliation_strings":["Hindustan Institute of Technology & Science,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan Institute of Technology & Science,Chennai,India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120207219","display_name":"K Tharun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tharun K","raw_affiliation_strings":["Hindustan Institute of Technology & Science,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan Institute of Technology & Science,Chennai,India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"middle","author":{"id":null,"display_name":"P. Sankar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Sankar","raw_affiliation_strings":["Hindustan Institute of Technology & Science,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan Institute of Technology & Science,Chennai,India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114435652","display_name":"A. Arikesh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Arikesh","raw_affiliation_strings":["Hindustan Institute of Technology & Science,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan Institute of Technology & Science,Chennai,India","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032237966","display_name":"G. Vimalarani","orcid":"https://orcid.org/0000-0002-1396-6512","observed_orcids":["https://orcid.org/0000-0002-1396-6512"]},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Vimalarani","raw_affiliation_strings":["Hindustan Institute of Technology & Science,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hindustan Institute of Technology & Science,Chennai,India","institution_ids":["https://openalex.org/I43663321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43663321"],"apc_list":null,"apc_paid":null,"fwci":0.8565,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78051362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.03240000084042549,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/real-time-object-detection","display_name":"real-time object detection","score":0.8209999799728394},{"id":"https://openalex.org/keywords/image-super-resolution","display_name":"image super-resolution","score":0.7450000047683716},{"id":"https://openalex.org/keywords/small-object-detection","display_name":"small object detection","score":0.890999972820282},{"id":"https://openalex.org/keywords/low-resolution-video","display_name":"low-resolution video","score":0.7900000214576721},{"id":"https://openalex.org/keywords/edge-intelligence","display_name":"edge AI","score":0.7979999780654907},{"id":"https://openalex.org/keywords/raspberry-pi","display_name":"Raspberry Pi","score":0.9369999766349792},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.8379999995231628}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728000283241272},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7366999983787537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7149999737739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084000110626221},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6306999921798706},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5875999927520752},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5737000107765198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4941999912261963},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.4871000051498413},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.44929999113082886},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142000079154968},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.37400001287460327},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.3659999966621399},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33649998903274536},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3312000036239624},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C23746413","wikidata":"https://www.wikidata.org/wiki/Q1141379","display_name":"Seam carving","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.2946000099182129},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C3019635856","wikidata":"https://www.wikidata.org/wiki/Q1619726","display_name":"Background image","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icees67011.2025.11212942","doi":"https://doi.org/10.1109/icees67011.2025.11212942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icees67011.2025.11212942","pdf_url":null,"source":{"id":"https://openalex.org/S7407086565","display_name":"International Conference on Electrical Energy Systems (ICEES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Electrical Energy Systems (ICEES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W4224230993","https://openalex.org/W4390986530","https://openalex.org/W4400576806","https://openalex.org/W4410887601"],"related_works":[],"abstract_inverted_index":{"In":[0,63],"this":[1,102],"work,":[2],"the":[3,13,35,45,71,82],"Efficient":[4],"Sub":[5],"pixel":[6],"convolutional":[7],"Network":[8],"(ESPCN)":[9],"is":[10,31,39],"integrated":[11],"with":[12,58,70],"Image":[14],"Slicing":[15],"Algorithm":[16],"(ISA)":[17],"to":[18,41,65],"boost":[19],"low-resolution":[20],"video":[21],"frame":[22],"small":[23],"object":[24,46,108],"detection":[25,68,83,109],"as":[26,34],"its":[27],"contribution.":[28],"This":[29],"approach":[30],"implemented":[32],"dynamically":[33],"super-resolution":[36],"scaling":[37],"factor":[38],"changed":[40],"be":[42],"dependent":[43],"upon":[44],"density":[47],"and":[48,77,96],"feature":[49],"size":[50],"in":[51,107],"place":[52],"on":[53],"a":[54,59,67],"Raspberry":[55],"Pi":[56],"5":[57],"Hailo":[60],"AI":[61,112],"accelerator.":[62],"order":[64],"produce":[66],"model":[69],"best":[72],"tradeoff":[73],"between":[74],"image":[75],"quality":[76],"computational":[78],"efficiency,":[79],"ESPCN+ISA":[80],"improves":[81],"accuracy":[84],"without":[85],"losing":[86],"real-time":[87],"performance.":[88],"Experimental":[89],"results":[90],"show":[91],"massive":[92],"mAP":[93],"score":[94],"increase":[95],"FPS":[97],"stability":[98],"increase,":[99],"thereby":[100],"making":[101],"method":[103],"possible":[104],"for":[105,110],"use":[106],"edge":[111],"applications.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-31T00:00:00"}