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dc.contributor.author Pruthi, Parikshit Kumar
dc.contributor.author Girsa, Rajan
dc.contributor.author Butta, Shubhankar R.
dc.contributor.author Biyani., Pravesh (Advisor)
dc.date.accessioned 2019-10-14T12:42:10Z
dc.date.available 2019-10-14T12:42:10Z
dc.date.issued 2019-11
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/793
dc.description.abstract EATM 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.iso en_US en_US
dc.publisher IIITD-Delhi en_US
dc.subject Automated Vending Machine en_US
dc.subject Machine Learning en_US
dc.subject Computer Vision en_US
dc.subject Image Analysis en_US
dc.subject Data Collection en_US
dc.subject Mobile Computing en_US
dc.subject Object Detection en_US
dc.subject RF technology en_US
dc.subject Radar and antenna en_US
dc.subject Android App en_US
dc.title EATM en_US
dc.type Other en_US


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