A noncontact pH level sensing indicator using computer vision and knowledge-based systems
A computer vision-based approach in identifying the pH level of a substance requires the use of multiple computer or machine vision techniques which include image processing, and object/contour detection, counting, or tracking. This paper proposes a pH level indicator system with knowledge-based sys...
Saved in:
Main Authors: | Luta, Raphael Benedict G., Ong, Anthony Christopher L., Lao, Selwyn Jenson C., Baldovino, Renann G., Bugtai, Nilo T., Dadios, Elmer P. |
---|---|
Format: | text |
Published: |
Animo Repository
2017
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2932 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Multi-label classification of pH levels using support vector machines
by: Luta, Raphael Benedict G., et al.
Published: (2019) -
Classification and determination of pH value: A decision tree learning approach
by: Chioson, Francheska B., et al.
Published: (2019) -
Neural network controller for pH neutralization process
by: Lacar, Honorina L., et al.
Published: (2003) -
Image preprocessing using quick color averaging approach for color machine vision (CMV) systems
by: Luta, Raphael Benedict G., et al.
Published: (2017) -
A pH regulation system for perfusion machine using computer vision and fuzzy logic
by: Limchesing, Tristan Joseph C., et al.
Published: (2019)