CASH FROM TRASH (CAFTRA) – INNOVATIVE WAY OF RECYCLING SYSTEM

Imaan Aisyah, Kassim (2020) CASH FROM TRASH (CAFTRA) – INNOVATIVE WAY OF RECYCLING SYSTEM. [Final Year Project Report] (Unpublished)

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Abstract

CAFTRA is an IoT project that is integrated with hardware devices that collects recyclable items from users and rewards them with cash based on the current market price. It will measure trash volume in the recycle bin. It can help the garbage collector management staff to monitor and optimally utilised resource. This report describes a study on creating an IoT prototype that consists of Arduino and some sensors that are connected to the Blynk App. A comparison study of three existing or similar system with the proposed system had been conducted. Each of the compared system components and the overall workflow is explained. Features of between systems are highlighted in the comparison table which are the important elements for designing the proposed system. The requirement for the user and the system was analysed. User requirement consists of identifying target user, meanwhile, system requirement consists of software and hardware requirement. After the requirements are identified, the proposed system is designed which including system framework with all the hardware and software design approaches. CAFTRA is developed to enhance public practise in recycling activities as well as to support the Government in Separation at Source initiatives (SSI).

Item Type:	Final Year Project Report
Additional Information:	Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords:	IoT prototype, CASH FROM TRASH (CAFTRA), hardware device, Blynk App.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User:	Gani
Date Deposited:	29 Jan 2021 04:54
Last Modified:	01 Dec 2023 09:01
URI:	http://ir.unimas.my/id/eprint/34139

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