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Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

Automatic counting of chili ripeness on computer vision for industri 4.0

Indrabayu

Proceedings 2019 IEEE International Conference on Industry 4 0 Artificial Intelligence and Communications Technology Iaict 2019

Published: 2019Citations: 8

Abstract

This study aims to determine and counting the number of ripe chili on a tree. The proposed system uses images taken in gardens with a distance of 40 cm and an image resolution of 576×864. This work implements RGB2HSV color transformation, image segmentation, threshold, and image morphology, and then implements a Blob Analysis method for detecting and counting the ripe chilies on the trees. The trial results of this study provide a boundary for the blob area that will be used. Blob area less than 400 will not be labeled for the bounding box of the object detected. The accuracy of the proposed method to detect and calculate the ripe chilies on tress is 89.7%.

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Artificial intelligenceSciences
Computer scienceSciences
Computer visionSciences
Minimum bounding boxSciences
SegmentationSciences
Bounding overwatchSciences
Tree (set theory)Sciences
SortingSciences
Transformation (genetics)Sciences
RipenessSciences
Boundary (topology)Sciences
Image (mathematics)Sciences
Blob detectionSciences
Image segmentationSciences
Image processingSciences
Pattern recognition (psychology)Sciences
MathematicsSciences
Edge detectionSciences
AlgorithmSciences
CombinatoricsSciences
Food scienceSciences
Mathematical analysisSciences
GeneSciences
BiochemistrySciences
RipeningSciences
ChemistrySciences