Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4)

dc.contributor.authorFernando, W. H. D.
dc.contributor.authorSotheeswaran, S.
dc.date.accessioned2022-10-31T06:12:14Z
dc.date.available2022-10-31T06:12:14Z
dc.date.issued2021
dc.description.abstractUsing scenario transformation methodology, we identified four scenarios that indicated a lack of trusted parties to sell harvest has forced smallholder farmers to sell the harvest to brokers who often collect the harvest at the farm gate at the lowest possible prices and sell in the market for large profits. As blockchain smart contracts provide a mechanism to reduce risk and establish trust between unknown trading partners, we transformed these into a scenario that establishes trust between farmer and unknown broker using smart contracts, generating a trust-enabled market. This scenario enables farmers to search for the optimum farm-gate price without relying on known brokers. The scenario is further enhanced to enable a Many-one-Many market linkage, facilitating automatic aggregated marketing. The paper presents the functional prototype of the scenario, explaining the functionality of the transformed system.en_US
dc.identifier.citationFernando W. H. D.; Sotheeswaran S. (2021), Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4), International Research Conference on Smart Computing and Systems Engineering (SCSE 2021), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 38-43.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/25350
dc.publisherDepartment of Industrial Management, Faculty of Science, University of Kelaniya Sri Lankaen_US
dc.subjectaggregated market, blockchain, farmer linkage, smart contracts, trusten_US
dc.titleAutomatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4)en_US

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