Research and Development of Automatic Sawn Timber Defect Removal Line-Reference-Cited by-同舟云学术

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Research and Development of Automatic Sawn Timber Defect Removal Line

Published:2022-05-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
language:
Short-container-title:

Author:

Mohammed Haider A.A.¹,Gribanov A. A.²

Affiliation:

1. College of Basic Education, University of Diyala,Computer Department,Diyala,Republic of Iraq

2. Voronezh State University of Forestry and Technologies Named after G.F. Morozov,Department of Automation of Production Processes,Voronezh,Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9786772/9787073/09787211.pdf?arnumber=9787211

Reference13 articles.

1. New machine vision technology revolutionizes lumber size control;vuorilehto;Mill Product News,2002

2. Machine vision guides lumber cutting;bouchard;Laser Focus World,2004

3. Defect detection performance of automated hardwood lumber grading system

4. Adaptive milling of solid wood furniture workpieces: analysis of the extended approach capabilities

5. Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning

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