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Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart

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dc.contributor.author Heyns, R
dc.contributor.author Ndiaye, M
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2021-11-26T07:06:38Z
dc.date.available 2021-11-26T07:06:38Z
dc.date.issued 2021-06
dc.identifier.citation Heyns, R., Ndiaye, M. & Abu-Mahfouz, A.M. 2021. Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart. http://hdl.handle.net/10204/12173 . en_ZA
dc.identifier.isbn 978-1-7281-9023-5
dc.identifier.isbn 978-1-7281-9022-8
dc.identifier.isbn 978-1-7281-9022-8
dc.identifier.uri DOI: 10.1109/ISIE45552.2021.9576473
dc.identifier.uri http://hdl.handle.net/10204/12173
dc.description.abstract In this work, we proposed an automated smart cart system for use in the shopping industry. A smart cart equipped with sensors and computing resources would classify as an edge device for the Industrial Internet of Things (IIoT). In our design of the cart, we take advantage of the onboard computing resources to perform the image processing necessary for tracking the cart user. The smart cart can recognize the shopper and follow them around the mall as they shop. This feature enabled the edge computing resource in the embedded single board computer (SBC) would be helpful to people finding it difficult to push a heavy cart around the mall. The SCB used in our implementation is an Odroid C2 which is interfaced with a microcontroller, sensors, and a web application required for a digital cart representation. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9576473 en_US
dc.source 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), Kyoto, Japan, 20-23 June 2021 en_US
dc.subject Image edge detection en_US
dc.subject Image processing en_US
dc.subject Industrial electronics en_US
dc.subject Intelligent sensors en_US
dc.subject Microcontrollers en_US
dc.subject Performance evaluation en_US
dc.subject Industrial Internet of Things en_US
dc.subject IIoT en_US
dc.subject Single board computer en_US
dc.subject SBC en_US
dc.title Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart en_US
dc.type Conference Presentation en_US
dc.description.pages 6 en_US
dc.description.note Copyright: 2021 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/9576473 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea EDTRC Management en_US
dc.identifier.apacitation Heyns, R., Ndiaye, M., & Abu-Mahfouz, A. M. (2021). Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart. http://hdl.handle.net/10204/12173 en_ZA
dc.identifier.chicagocitation Heyns, R, M Ndiaye, and Adnan MI Abu-Mahfouz. "Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart." <i>2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), Kyoto, Japan, 20-23 June 2021</i> (2021): http://hdl.handle.net/10204/12173 en_ZA
dc.identifier.vancouvercitation Heyns R, Ndiaye M, Abu-Mahfouz AM, Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart; 2021. http://hdl.handle.net/10204/12173 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Heyns, R AU - Ndiaye, M AU - Abu-Mahfouz, Adnan MI AB - In this work, we proposed an automated smart cart system for use in the shopping industry. A smart cart equipped with sensors and computing resources would classify as an edge device for the Industrial Internet of Things (IIoT). In our design of the cart, we take advantage of the onboard computing resources to perform the image processing necessary for tracking the cart user. The smart cart can recognize the shopper and follow them around the mall as they shop. This feature enabled the edge computing resource in the embedded single board computer (SBC) would be helpful to people finding it difficult to push a heavy cart around the mall. The SCB used in our implementation is an Odroid C2 which is interfaced with a microcontroller, sensors, and a web application required for a digital cart representation. DA - 2021-06 DB - ResearchSpace DP - CSIR J1 - 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), Kyoto, Japan, 20-23 June 2021 KW - Image edge detection KW - Image processing KW - Industrial electronics KW - Intelligent sensors KW - Microcontrollers KW - Performance evaluation KW - Industrial Internet of Things KW - IIoT KW - Single board computer KW - SBC LK - https://researchspace.csir.co.za PY - 2021 SM - 978-1-7281-9023-5 SM - 978-1-7281-9022-8 SM - 978-1-7281-9022-8 T1 - Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart TI - Enabling user-oriented features at the edge: A case of an IoT-based smart shopping cart UR - http://hdl.handle.net/10204/12173 ER - en_ZA
dc.identifier.worklist 25102 en_US


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