Please use this identifier to cite or link to this item:
http://repository.iiitd.edu.in/xmlui/handle/123456789/1233| Title: | HoppaQ : self checkout shopping cart |
| Authors: | Sarkar, Arka Singla, Utsav Jerripothula, Koteswar Rao (Advisor) |
| Keywords: | image processing logo detection text recognition computer vision automated |
| Issue Date: | May-2021 |
| Publisher: | IIIT-Delhi |
| Abstract: | With the growing population in major cities the need of groceries is essential for everyone, this makes the supermarkets get flooded with consumers looking for a quick shop, but all comes to a halt when one realises a huge queue to checkout their purchases costing them valuable time. We propose our self-checkout cart as a viable solution to this problem. This cart is fully automated and is specifically to designed to eliminate the need to queues in supermarkets. The user is supposed to use this cart as a normal cart for shopping purposes, the cart will itself detect what items are put into it and keep a track of everything that occurs inside, once the consumer is done shopping they can just walk out of the store, the credit will automatically be deducted from their account without any need for further manual checkout. |
| URI: | http://repository.iiitd.edu.in/xmlui/handle/123456789/1233 |
| Appears in Collections: | Year-2021 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Utsav Singla.pdf Restricted Access | 22.6 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.