{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T19:07:10Z","timestamp":1780081630176,"version":"3.54.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100013000","name":"Politecnico di Torino","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013000","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2964608","type":"journal-article","created":{"date-parts":[[2020,1,7]],"date-time":"2020-01-07T20:59:11Z","timestamp":1578430751000},"page":"9102-9114","source":"Crossref","is-referenced-by-count":178,"title":["Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7624-1850","authenticated-orcid":false,"given":"Vittorio","family":"Mazzia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9771-6595","authenticated-orcid":false,"given":"Aleem","family":"Khaliq","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4744-4349","authenticated-orcid":false,"given":"Francesco","family":"Salvetti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1921-0126","authenticated-orcid":false,"given":"Marcello","family":"Chiaberge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref33","year":"2019","journal-title":"Graphics Reinvented NVIDIA GeForce RTX 2080 Ti Graphics Card"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2774979"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CAC.2017.8244056"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342102"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref36","year":"2019","journal-title":"NVIDIA Jetson—Hardware For Every Situation"},{"key":"ref35","year":"2019","journal-title":"Intel Neural Compute Stick"},{"key":"ref34","year":"2019","journal-title":"Intel movidius neural compute stick"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.59"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2017.10.010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/AIM.2018.8452263"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2011.11.005"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-18333-1_77"},{"key":"ref20","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 0276"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2654357"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3225058.3225069"},{"key":"ref24","first-page":"525","article-title":"XNOR-Net: ImageNet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref23","article-title":"Incremental network quantization: Towards lossless cnns with low-precision weights","author":"zhou","year":"2017","journal-title":"arXiv 1702 03044"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2788396"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/FSKD.2017.8393296"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0507-8"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0090-8"},{"key":"ref56","author":"rosebrock","year":"2017","journal-title":"Deep Learning for Computer Vision with Python Starter Bundle"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref54","article-title":"L1 and L2 regularization for multiclass hinge loss models","author":"moore","year":"2011","journal-title":"Proc Symp Mach Learning Speech Lang Process"},{"key":"ref53","article-title":"Fixing weight decay regularization in adam","author":"loshchilov","year":"2017","journal-title":"arXiv 1711 05101"},{"key":"ref52","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017","journal-title":"arXiv 1708 04552"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.02.016"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.01.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5243-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.03.010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989417"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s140712191"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2651944"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref18","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2015.10.022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2011.07.005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-00065-7_50"},{"key":"ref5","first-page":"66","article-title":"Apple identification in field environment with over the row machine vision system","volume":"16","author":"silwal","year":"2016","journal-title":"Agricultural Engineering International the CIGRE Journal"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0168-1699(03)00086-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7287.001.0001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s17122738"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.13031\/2013.19821"},{"key":"ref46","article-title":"The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale","author":"kuznetsova","year":"2018","journal-title":"arXiv 1811 00982"},{"key":"ref45","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref47","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume":"70","author":"long","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","article-title":"Empirical evaluation of rectified activations in convolutional network","author":"xu","year":"2015","journal-title":"arXiv 1505 00853"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref43","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08951147.pdf?arnumber=8951147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:08:07Z","timestamp":1641949687000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8951147\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2964608","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}