AI Chat AI Image Generator AI Video Text to Speech

Residual Quantity in Percentage of Factory Machines Using ComputerVision and Mathematical Methods

11/09/2021

∙

by Seunghyeon Kim, et al.

∙

∙

Computer vision has been thriving since AI development was gaining thrust. Using deep learning techniques has been the most popular way which computer scientists thought the solution of. However, deep learning techniques tend to show lower performance than manual processing. Using deep learning is not always the answer to a problem related to computer vision.

Seunghyeon Kim
5 publications
Jihoon Ryoo
2 publications
Dongyeob Lee
2 publications
Youngho Kim
2 publications

page 2

page 3

page 4

research

∙ 10/30/2019

Deep Learning vs. Traditional Computer Vision

Deep Learning has pushed the limits of what was possible in the domain o...

0 Niall O' Mahony, et al. ∙

research

∙ 05/12/2020

Apple Defect Detection Using Deep Learning Based Object Detection For Better Post Harvest Handling

The inclusion of Computer Vision and Deep Learning technologies in Agric...

0 Paolo Valdez, et al. ∙

research

∙ 04/14/2022

MINSU (Mobile Inventory And Scanning Unit):Computer Vision and AI

The MINSU(Mobile Inventory and Scanning Unit) algorithm uses the computa...

8 Jihoon Ryoo, et al. ∙

research

∙ 12/12/2019

Using Deep Learning to Solve Computer Security Challenges: A Survey

Although using machine learning techniques to solve computer security ch...

0 Yoon Ho Choi, et al. ∙

research

∙ 01/24/2023

Macroeconomic forecasting and sovereign risk assessment using deep learning techniques

In this study, we propose a novel approach of nowcasting and forecasting...

0 Anastasios Petropoulos, et al. ∙

research

∙ 05/23/2023

Producing a Standard Dataset of Speed Climbing Training Videos Using Deep Learning Techniques

This dissertation presents a methodology for recording speed climbing tr...

0 Yufei Xie, et al. ∙

research

∙ 08/28/2019

A Possible Reason for why Data-Driven Beats Theory-Driven Computer Vision

Why do some continue to wonder about the success and dominance of deep l...

82 John K. Tsotsos, et al. ∙