PENDETEKSIAN BUAH PISANG MENGGUNAKAN METODE HSV BERBASIS RASPBERRY PI 3B DAN RASPBERRY PI CAMERA V2

PUTRA, KADEK DWIVAYANA YOGISWARA AMRETSYAH and Zarkasi, Ahmad and Prasetyo, Aditya Putra Perdana (2021) PENDETEKSIAN BUAH PISANG MENGGUNAKAN METODE HSV BERBASIS RASPBERRY PI 3B DAN RASPBERRY PI CAMERA V2. Undergraduate thesis, Sriwijaya University.

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Abstract

Digital image processing is a digital image manipulation technique that specifically uses a computer to become another image that suits needs. Classification of banana ripeness can be done in two ways, destructive and non-destructive. This research discusses banana fruit detection based on color using the HSV method (Hue, Saturation, Value) using Raspberry Pi 3B for data processing and Raspberry Pi Camera V2 for capture digital moving images. The result of this research is a system that can distinguish the color of bananas in one frame.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	digital image processing, object detection, the HSV method, banana fruit, Raspberry Pi 3B, Raspberry Pi Camera V2
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.A48 Image processing.
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Kadek Dwivayana Yogiswara Amretsyah Putra
Date Deposited:	30 Sep 2021 01:12
Last Modified:	30 Sep 2021 01:12
URI:	http://repository.unsri.ac.id/id/eprint/55196

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