Please use this identifier to cite or link to this item: https://repository.rsif-paset.org/xmlui/handle/123456789/293
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dc.contributor.authorSichinga, Marumbo-
dc.contributor.authorNsenga, Jimmy-
dc.contributor.authorNizeyimana, Eric-
dc.date.accessioned2023-10-31T10:51:58Z-
dc.date.available2023-10-31T10:51:58Z-
dc.date.issued2023-06-27-
dc.identifier.urihttps://repository.rsif-paset.org/xmlui/handle/123456789/293-
dc.descriptionFull text: https://doi.org/10.1145/3589883.3589921en_US
dc.description.abstractVehicle based logistics are hinged on their ability to timely deliver goods, services, and people. The classical expression of “time is money” comes alive in the logistics industry yielding potentially huge financial and health consequences in case of missing deadlines. This is especially the case for time sensitive pharmaceuticals, delivery of perishable goods, delivery of people travelling, delivery of services in fault fixing/recovery sector. All these use cases motivate the need for an immutable, secure, and immortalized process of tracking time. To solve this challenge, this paper presents prototype-based research that integrates the 4th industrial revolution technologies of vision Internet of Things (IoT), Artificial Intelligence (AI)-based Optical Character Recognition (OCR) and blockchain. The developed prototype features a Raspberry-PI board embedding a camera, an Artificial Intelligence (AI) model to recognize plate letters from the image and a crypto wallet to sign the logging of plate number and time events on the NEAR blockchain, an emerging sharded, proof-of-stake, layer-one blockchain that is simple to use, secure and scalable. The effective operation of the developed prototype has been validated inside a campus parking and shows an accuracy of 80%. The benefits of transparency, security, and immutability of the blockchain combined with the intelligence, data capture, and processing of IoT will enable to develop accountability solutions trusted by all different logistic stakeholders.en_US
dc.publisherACM Digital Libraryen_US
dc.subjectIoT, OCR, blochchainen_US
dc.titleIntegration of Vision IoT, AI-based OCR and Blockchain Ledger for Immutable Tracking of Vehicle's Departure and Arrival Timesen_US
dc.typeArticleen_US
Appears in Collections:ICTs including Big Data and Artificial Intelligence

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