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Small-scale reverse vending machine with barcode processing using camera vision and opencv

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The purpose of this thesis is to remake and improve the current Reverse Vending Machine (RVM) that has been existed in Swiss German University for 3 generations since 2016. with an implementation of barcode scanning as the sorting system and load cell to check whether the drinking container is empty or not. The machine will receive the container from the conveyor station, check the weight, and finally transfer it to the sorting station. The container will be sorted as cans or plastic bottle by the aid of barcode scanning and compare it to database. Unrecoverable container will be returned to the user through the outlet passage. This thesis project focused on redesign and rebuild reverse vending machine to improve its process and performance. It includes container type accepted, faster processing time, high reliability, with the implementation of a camera as the vision system, substituting the conventional barcode scanner system, which can improve the ability to read beverage container barcode. Moreover, enough database entries, user interface, and interactive design will also be implemented

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Availability

B02965

(Rack Thesis)

Available

Detail Information

Series Title

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Call Number

2965

Publisher

: Swiss German University., 2019

Collation

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Language

English

ISBN/ISSN

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Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

MT
Camera
OpenCV
Raspberry Pi
Reverse vending machine
Barcode
Load Cell
Barcode Processing
Beverage Container,

Specific Detail Info

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Statement of Responsibility

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