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Enhanced Spatial Pyramid Pooling And Intersection Over Union In Yolov4 For Real-time Grocery Recognition System

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dc.contributor.authorSaqib Jamal Syeden_US
dc.contributor.authorPutra Sumarien_US
dc.contributor.authorHailiza Kamarulhailien_US
dc.contributor.authorValliappan Ramanen_US
dc.contributor.authorSundresan Perumalen_US
dc.contributor.authorWan Rahimanen_US
dc.date.accessioned2024-05-29T02:28:05Z
dc.date.available2024-05-29T02:28:05Z
dc.date.issued2022
dc.date.submitted2023-2-4
dc.descriptionVol.100. No 12 Page (3894-3901)en_US
dc.description.abstractThe ability to recognize a grocery on the shelf of a retail store is an ordinary human skill. Automatic detection of grocery on the shelf of retail store provides enhanced value-added to consumer experience, commercial benefits to retailers and efficient monitoring to domestic enforcement ministry. Compared to machine visionbased object recognition system, automatic detection of retail grocery in a store setting has lesser number of successful attempts. In this paper, we present an enhanced YOLOv4 for grocery detection and recognition. We enhanced through spatial pyramid pooling (SPP) and Intersection over union (IOU) components of YOLOv4 to be more accurate in making recognition and faster in the process. We carried an experiment using modified YOLOv4 algorithm to work with our new customized annotated dataset consist on 12000 images with 13 classes. The experiment result shows satisfactory detection compare to other similar works with mAP of 79.39, IoU threshold of 50%, accuracy of 82.83% and real time performance of 61 frames per seconden_US
dc.identifier.epage3901
dc.identifier.issn1992-8645
dc.identifier.issue12
dc.identifier.spage3894
dc.identifier.urihttps://oarep.usim.edu.my/jspui/bitstream/123456789/19787/1/5wuqm.pdf
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10739
dc.identifier.volume100
dc.language.isoenen_US
dc.publisherJournal of Theoretical and Applied Information Tecen_US
dc.relation.ispartofJournal of Theoretical and Applied Information Technologyen_US
dc.subjectGrocery Recognition, Yolov4, Object Localization, Deep Learning, Machine Visionen_US
dc.titleEnhanced Spatial Pyramid Pooling And Intersection Over Union In Yolov4 For Real-time Grocery Recognition Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication

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