Automatic inventory identification through image recognition

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dc.contributor.advisor Wang, Hai, 1973-
dc.creator Triff, Matt
dc.date.accessioned 2018-05-02T14:12:15Z
dc.date.available 2018-05-02T14:12:15Z
dc.date.issued 2017
dc.identifier.other HD40 T75 2017
dc.identifier.uri http://library2.smu.ca/handle/01/27507
dc.description 110 leaves : illustrations (some colour) ; 29 cm
dc.description Includes abstract and appendices.
dc.description Includes bibliographical references (leaves 99-103).
dc.description.abstract Companies are looking to use technology to replace repetitive, low skill tasks currently performed by human employees. One such series of tasks is conducting an inventory of items within a warehouse. This requires employees to identify individual items on a shelf. This task is well-suited to the application of computer vision techniques. Images of shelves in a warehouse can be acquired and analyzed. The goal of this research is to accurately identify items within the images for the purpose of inventory management. This objective requires both the detection of objects within an image, and the identification of those objects. I propose a series of techniques to identify an item against a set of template images of potential items. To demonstrate the effectiveness of these techniques, I have developed a prototype system that performs an inventory of equipment in a data centre. en_CA
dc.description.provenance Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2018-05-02T14:12:15Z No. of bitstreams: 1 Triff_Matt_MASTERS_2017.pdf: 19242458 bytes, checksum: 904056b35c056c47a421e7a04f1b70e1 (MD5) en
dc.description.provenance Made available in DSpace on 2018-05-02T14:12:15Z (GMT). No. of bitstreams: 1 Triff_Matt_MASTERS_2017.pdf: 19242458 bytes, checksum: 904056b35c056c47a421e7a04f1b70e1 (MD5) Previous issue date: 2017-07-16 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc HD40
dc.subject.lcsh Inventories -- Data processing
dc.subject.lcsh Inventory control -- Data processing
dc.subject.lcsh Image registration
dc.title Automatic inventory identification through image recognition en_CA
dc.type Text en_CA
thesis.degree.name Master of Science in Computing and Data Analytics
thesis.degree.level Masters
thesis.degree.discipline Computing and Data Analytics Program
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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