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Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/793
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dc.contributor.authorPruthi, Parikshit Kumar
dc.contributor.authorGirsa, Rajan
dc.contributor.authorButta, Shubhankar R.
dc.contributor.authorBiyani, Pravesh (Advisor)
dc.date.accessioned2019-10-14T12:42:10Z
dc.date.available2019-10-14T12:42:10Z
dc.date.issued2019-11
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/793
dc.description.abstractEATM is an automated vending machine that uses several machine learning and computer vision techniques for object detection. It is a similar model to Amazon Go and uses mainly camera and RF system for object detection. Raspberry pis have been used as the processors and the app is created on Android Studio and uses Firebase as a database.en_US
dc.language.isoen_USen_US
dc.publisherIIITD-Delhien_US
dc.subjectAutomated Vending Machineen_US
dc.subjectMachine Learningen_US
dc.subjectComputer Visionen_US
dc.subjectImage Analysisen_US
dc.subjectData Collectionen_US
dc.subjectMobile Computingen_US
dc.subjectObject Detectionen_US
dc.subjectRF technologyen_US
dc.subjectRadar and antennaen_US
dc.subjectAndroid Appen_US
dc.titleEATMen_US
dc.typeOtheren_US
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