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

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dc.contributor.author Fernando, W. H. D.
dc.contributor.author Sotheeswaran, S.
dc.date.accessioned 2022-10-31T06:12:14Z
dc.date.available 2022-10-31T06:12:14Z
dc.date.issued 2021
dc.identifier.citation Fernando 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.uri http://repository.kln.ac.lk/handle/123456789/25350
dc.description.abstract Using 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.publisher Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka en_US
dc.subject aggregated market, blockchain, farmer linkage, smart contracts, trust en_US
dc.title Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4) en_US


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