Reading and understanding house numbers for delivery robots using the ”SVHN Dataset”

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dc.contributor.authorPradhan, Omkar N.
dc.contributor.authorTang, Gilbert
dc.contributor.authorMakris, Christos
dc.contributor.authorGudipati, Radhika
dc.date.accessioned2024-06-19T07:55:08Z
dc.date.available2024-06-19T07:55:08Z
dc.date.issued2024-06-05
dc.description.abstractDetecting street house numbers in complex environments is a challenging robotics and computer vision task that could be valuable in enhancing the accuracy of delivery robots' localisation. The development of this technology also has positive implications for address parsing and postal services. This project focuses on building a robust and efficient system that deals with the complexities associated with detecting house numbers in street scenes. The models in this system are trained on Stanford University's SVHN (Street View House Numbers) dataset. By fine-tuning the YOLO's (You Only Look Once) nano model results with an effective detection range from 1.02 meters to 4.5. The optimum allowance for angle of tilt was ±15°. The inference resolution was obtained to be 2160 * 1620 with inference delay of 35 milliseconds.en_UK
dc.identifier.citationPradhan O, Tang G, Makris C, Gudipati R. (2024) Reading and understanding house numbers for delivery robots using the “SVHN Dataset”. In: 2024 IEEE International Conference on Industrial Technology (ICIT), 25-27 March 2024, Bristol, UKen_UK
dc.identifier.eisbn979-8-3503-4026-6
dc.identifier.eissn2643-2978
dc.identifier.isbn979-8-3503-4027-3
dc.identifier.issn2641-0184
dc.identifier.urihttps://doi.org/10.1109/ICIT58233.2024.10540817
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22513
dc.language.isoen_UKen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectArtificial Intelligenceen_UK
dc.subjectCharacter Recognitionen_UK
dc.subjectComputer Visionen_UK
dc.subjectObject Detectionen_UK
dc.subjectYOLOen_UK
dc.subjectSVHNen_UK
dc.titleReading and understanding house numbers for delivery robots using the ”SVHN Dataset”en_UK
dc.typeConference paperen_UK
dcterms.dateAccepted2024-01-09

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