{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T15:41:09Z","timestamp":1784821269314,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819608041","type":"print"},{"value":"9789819608058","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T00:00:00Z","timestamp":1733529600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T00:00:00Z","timestamp":1733529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0805-8_11","type":"book-chapter","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T22:46:39Z","timestamp":1733525199000},"page":"142-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":76,"title":["Benchmarking Deep Learning Models for\u00a0Object Detection on\u00a0Edge Computing Devices"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5309-6996","authenticated-orcid":false,"given":"Daghash K.","family":"Alqahtani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2139-9121","authenticated-orcid":false,"given":"Muhammad Aamir","family":"Cheema","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5655-5337","authenticated-orcid":false,"given":"Adel N.","family":"Toosi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,7]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Alqahtani, D.K., Cheema, A., Toosi, A.N.: Benchmarking deep learning models for object detection on edge computing devices. arXiv preprint arXiv:2409.16808 (2024)","DOI":"10.1007\/978-981-96-0805-8_11"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Balasubramaniam, A., Pasricha, S.: Object detection in autonomous vehicles: Status and open challenges. arXiv preprint arXiv:2201.07706 (2022)","DOI":"10.1007\/978-3-031-28016-0_17"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Baller, S.P., Jindal, A., Chadha, M., Gerndt, M.: Deepedgebench: benchmarking deep neural networks on edge devices. In: 2021 IEEE International Conference on Cloud Engineering (IC2E), pp. 20\u201330. IEEE (2021)","DOI":"10.1109\/IC2E52221.2021.00016"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Bulut, A., Ozdemir, F., Bostanci, Y.S., Soyturk, M.: Performance evaluation of recent object detection models for traffic safety applications on edge. In: Proceedings of the 2023 5th International Conference on Image Processing and Machine Vision, pp.\u00a01\u20136 (2023)","DOI":"10.1145\/3582177.3582178"},{"issue":"11","key":"11_CR5","doi-asserted-by":"crossref","first-page":"4205","DOI":"10.3390\/s22114205","volume":"22","author":"D Cantero","year":"2022","unstructured":"Cantero, D., Esnaola-Gonzalez, I., Miguel-Alonso, J., Jauregi, E.: Benchmarking object detection deep learning models in embedded devices. Sensors 22(11), 4205 (2022)","journal-title":"Sensors"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Chen, C.W., Ruan, S.J., Lin, C.H., Hung, C.C.: Performance evaluation of edge computing-based deep learning object detection. In: Proceedings of the 2018 VII International Conference on Network, Communication and Computing, pp. 40\u201343 (2018)","DOI":"10.1145\/3301326.3301369"},{"key":"11_CR7","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.procs.2022.09.025","volume":"205","author":"R Galliera","year":"2022","unstructured":"Galliera, R., Suri, N.: Object detection at the edge: off-the-shelf deep learning capable devices and accelerators. Proc. Comput. Sci. 205, 239\u2013248 (2022)","journal-title":"Proc. Comput. Sci."},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Kamath, V., Renuka, A.: Performance analysis of the pretrained efficientdet for real-time object detection on raspberry pi. In: 2021 International Conference on Circuits, Controls and Communications (CCUBE), pp.\u00a01\u20136. IEEE (2021)","DOI":"10.1109\/CCUBE53681.2021.9702741"},{"issue":"22","key":"11_CR9","doi-asserted-by":"crossref","first-page":"4299","DOI":"10.3390\/math10224299","volume":"10","author":"P Kang","year":"2022","unstructured":"Kang, P., Somtham, A.: An evaluation of modern accelerator-based edge devices for object detection applications. Mathematics 10(22), 4299 (2022)","journal-title":"Mathematics"},{"key":"11_CR10","volume":"95","author":"DG Lema","year":"2024","unstructured":"Lema, D.G., Usamentiaga, R., Garc\u00eda, D.F.: Quantitative comparison and performance evaluation of deep learning-based object detection models on edge computing devices. Integration 95, 102127 (2024)","journal-title":"Integration"},{"key":"11_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","volume-title":"Computer Vision \u2013 ECCV 2016","author":"W Liu","year":"2016","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 21\u201337. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2"},{"key":"11_CR12","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.105604","volume":"117","author":"SC Magalh\u00e3es","year":"2023","unstructured":"Magalh\u00e3es, S.C., dos Santos, F.N., Machado, P., Moreira, A.P., Dias, J.: Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models. Eng. Appl. Artif. Intell. 117, 105604 (2023)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Tan, M., Pang, R., Le, Q.V.: Efficientdet: scalable and efficient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and pattern recognition, pp. 10781\u201310790 (2020)","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"11_CR14","unstructured":"Ultralytics: Home (2024). https:\/\/docs.ultralytics.com\/"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Zagitov, A., Chebotareva, E., Toschev, A., Magid, E.: Comparative analysis of neural network models performance on low-power devices for a real-time object detection task. Computer 48(2) (2024)","DOI":"10.18287\/2412-6179-CO-1343"}],"container-title":["Lecture Notes in Computer Science","Service-Oriented Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0805-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T16:25:20Z","timestamp":1743265520000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0805-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,7]]},"ISBN":["9789819608041","9789819608058"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0805-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,7]]},"assertion":[{"value":"7 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSOC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Service-Oriented Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tunis","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tunisia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icsoc2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icsoc2024.redcad.tn\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}