Algorithms for Vision-Based Quality Control of Circularly Symmetric Components
Quality inspection in the industrial production field is experiencing a strong technological development that benefits from the combination of vision-based techniques with artificial intelligence algorithms. This paper initially addresses the problem of defect identification for circularly symmetric...
Main Authors: | Paolo Brambilla, Chiara Conese, Davide Maria Fabris, Paolo Chiariotti, Marco Tarabini |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/5/2539 |
Similar Items
-
CLensRimVision: A Novel Computer Vision Algorithm for Detecting Rim Defects in Contact Lenses
by: Pawat Chunhachatrachai, et al.
Published: (2023-12-01) -
An Efficient YOLO Algorithm with an Attention Mechanism for Vision-Based Defect Inspection Deployed on FPGA
by: Longzhen Yu, et al.
Published: (2022-06-01) -
Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques
by: Yarens J. Cruz, et al.
Published: (2020-08-01) -
MACHINE VISION INSPECTION SYSTEMS. Volume 2 : Machine Learning-Based Approaches /
by: Malarvel, Muthukumaran, editor, et al.
Published: (2021) -
Vision-Based System for Black Rubber Roller Surface Inspection
by: Thanh-Hung Nguyen, et al.
Published: (2023-08-01)