EATM

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