Development of a Surveillance System for Red Tilapia Anomaly with Technology Neural Network

  • Panisara Hadkhuntod, Thanakorn Sangkudluo, Pramuk Srichaiwong, Inthuraporn Intharaprajob, Katesuda Phokanit, Sanya Kenaphoom
Keywords: System; Anomaly; Red Tilapia; Cage; Neural Network

Abstract

The objective of this research is to develop a surveillance system for red anomalies. Tilapia in the cage with neural network technology by taking photos of Red Tilapia in the cage, Mueang District, Phitsanulok Province which is classified into 2 types, normal and dead, 10,800 images.

Still Image and Video Processing Red Tilapia number 10 videos. Video tracing using Faster R-CNN model for image classification. The accuracy in the still image test is 95.37 %. And the video tracking accuracy is 94.79% and the notification system is created through the LINE application

Published
2021-09-30
How to Cite
Katesuda Phokanit, Sanya Kenaphoom, P. H. T. S. P. S. I. I. (2021). Development of a Surveillance System for Red Tilapia Anomaly with Technology Neural Network . Design Engineering, 49-57. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/4855
Section
Articles