Video Experimental Relacionado
Updated: Jan 7, 2026

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
Published on: October 27, 2023
Un modelo optimizado basado en YOLOv8n para la detección de defectos en tiempo real en la producción de tiras de taro
Kan Luo1,2, Chuanshuai Jia3,4, Yu Chen4,5
1School of electronic, Electrical engineering and Physics, Fujian University of Technology, Fuzhou, 350118, China. luokan@fjut.edu.cn.
Este estudio presenta un modelo YOLOv8n modificado para la detección automatizada de defectos en tiras de taro, logrando una precisión superior al 99% con alta precisión y recuperación. El eficiente enfoque de aprendizaje profundo mejora la calidad del procesamiento industrial y las capacidades en tiempo real.
Videos de Conceptos Relacionados
Reducing Line Loss
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
Improving Translational Accuracy
Improving Translational Accuracy
Detection of Gross Error: The Q Test
Lumber Defects
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
Force Classification
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...