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Development of an IoT-based sorting system for colour-based products

Rozali, Muhammad Razin (2021) Development of an IoT-based sorting system for colour-based products. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Following the currents of modernity must be consistent with the development of technologies that can support the development of technological systems. In order to do justice to the revolution of industrial expansion IR 4.0, colour-based product isolation systems have to be developed from time to time. The entire industry needs work-controlled image processing. Immediately afterwards, the Internet of Things (IoT) can help people monitor the image processing process with the help of the Raspberry Pi usage system. This project aims to automate the product classification system by colour through image processing; Next, the project consists of developing a goods separation system using intelligent devices with monitors. Additionally, by analyzing the performance of the image processing and system monitoring; The method to make this project a success was to process product images for analysis by the Raspberry Pi with a camera. The way this image is processed is by capturing the number of pixels and separating red, blue and green. To successful the project, several data need to be taken. The data been taken is ideal data for image processing image for three types of colours, ideal angular of the sorting product, the servostep for decreasing time taken for one cycle product and the IoT data analysis for tracking the counter for each type of colour product. This prototype project is suitable for iii manufacturing process that have sorting system process to improve quality of logistic and less burden of worker.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Processing, Image, Sorting, Analysis, Pixels, Project, Ideal, Colour
Divisions: Library > Final Year Project > FTKEE
Depositing User: Sabariah Ismail
Date Deposited: 15 Jun 2023 00:24
Last Modified: 15 Jun 2023 00:24
URI: http://digitalcollection.utem.edu.my/id/eprint/27449

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