IMPLEMENTASI IOT PADA ALAT PENDETEKSI WARNA KEMATANGAN BUAH TOMAT MENGGUNAKAN METODE HSV

GUSARI, BAYU and Zarkasi, Ahmad (2022) IMPLEMENTASI IOT PADA ALAT PENDETEKSI WARNA KEMATANGAN BUAH TOMAT MENGGUNAKAN METODE HSV. Diploma thesis, Sriwijaya University.

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Abstract

This research is to make a tomato color detection tool using the HSV method implemented by IoT. Color processing of tomatoes using the HSV filtering method on raspberries using a Picam V2.1 camera. The IoT device used is an esp32 microcontroller with the Blynk application, which displays raw and cooked indicators. The data obtained from this study is that the threshold (T) will be worth 1 if data 1 on the color of the tomatoes opens >=1000, and on the other hand thresholding (T) will be worth 0, if the data 1 on the color of the tomatoes is <1000

Item Type:	Thesis (Diploma)
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q342.C658 Computational intelligence. Internet of things. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5 Mathematics--Periodicals. Computer engineering. Computer science T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.6.A2-Z General works Simulation Cf. QA76.9.C65 Computer science Cf. TA343 Engineering mathematics T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.A48 Image processing. T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics > TA1632.B35 Image processing--Digital techniques. Pattern recognition systems
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Bayu Gusari
Date Deposited:	16 Aug 2022 02:58
Last Modified:	16 Aug 2022 02:58
URI:	http://repository.unsri.ac.id/id/eprint/77297

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