scholarly journals Development of an Automatic Crack Inspection System for Concrete Tunnel Lining Based on Computer Vision Technologies

2018 ◽  
Vol 371 ◽  
pp. 012015
Author(s):  
C K Nguyen ◽  
K Kawamura ◽  
M Shiozaki ◽  
A Tarighat
Keyword(s):  
Computer Vision ◽  
Tunnel Lining ◽  
Inspection System

scholarly journals Computer vision–based automatic rod-insulator defect detection in high-speed railway catenary system

2018 ◽  
Vol 15 (3) ◽  
pp. 172988141877394 ◽  
Author(s):  
Ye Han ◽  
Zhigang Liu ◽  
DJ Lee ◽  
Wenqiang Liu ◽  
Junwen Chen ◽  
...  
Keyword(s):  
Computer Vision ◽  
Defect Detection ◽  
High Speed ◽  
Power Transmission ◽  
Estimation Algorithm ◽  
Inspection System ◽  
High Speed Railway ◽  
Inspection Method ◽  
Railway Systems ◽  
Catenary System

Maintenance of catenary system is a crucial task for the safe operation of high-speed railway systems. Catenary system malfunction could interrupt railway service and threaten public safety. This article presents a computer vision algorithm that is developed to automatically detect the defective rod-insulators in a catenary system to ensure reliable power transmission. Two key challenges in building such a robust inspection system are addressed in this work, the detection of the insulators in the catenary image and the detection of possible defects. A two-step insulator detection method is implemented to detect insulators with different inclination angles in the image. The sub-images containing cantilevers and rods are first extracted from the catenary image. Then, the insulators are detected in the sub-image using deformable part models. A local intensity period estimation algorithm is designed specifically for insulator defect detection. Experimental results show that the proposed method is able to automatically and reliably detect insulator defects including the breakage of the ceramic discs and the foreign objects clamped between two ceramic discs. The performance of this visual inspection method meets the strict requirements for catenary system maintenance.

Design and Implementation of a Computer Vision Based Inspection System Using CUDA

2011 ◽  
Vol 383-390 ◽  
pp. 18-24
Author(s):  
Yan Shi ◽  
Ai Guo Li ◽  
Lin Wang
Keyword(s):  
Computer Vision ◽  
Graphic Processing Unit ◽  
Work Conditions ◽  
Inspection System ◽  
Processing Unit ◽  
Device Architecture ◽  
Vision Processing ◽  
And Performance ◽  
Hardware In Loop ◽  
Real Vehicle

In the production process of electronic Instrument Clusters (IC) used in automobiles, a need for automated inspection of dynamic characteristics is identified. An inspection system based on hardware-in-loop emulation and computer vision using Computer Unified Device Architecture (CUDA) is proposed. The system generates network signals that emulate a real vehicle, sends the signals to an IC to turn it into various work conditions, captures the IC’s response into a graphic processing unit for real-time computer-vision processing and records inspection results into databases. An implementation of the design and performance analysis is provided.

scholarly journals A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 809-816
Author(s):  
Y. M. Valencia ◽  
J. J. Majin ◽  
V. B. Taveira ◽  
J. D. Salazar ◽  
M. E. Stivanello ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Visual Inspection ◽  
Working Hours ◽  
Inspection System ◽  
Learning Approaches ◽  
Visual Fatigue ◽  
Long Working Hours ◽  
Novel Method ◽  
Classical Image

Abstract. The objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs manually, this implies a large number of workers with long working hours who are exposed to visual fatigue and physical and mental discomfort. As a solution, this work proposes to develop an automatic inspection technique for defects in eggs using computer vision, capable of being operable in the industry. Different image processing approaches were evaluated in order to determine the best solution in terms of performance and processing time.

Development of an inspection system for cracks in a concrete tunnel lining

2007 ◽  
Vol 34 (8) ◽  
pp. 966-975 ◽  
Author(s):  
Seung Yeol Lee ◽  
Sang Ho Lee ◽  
Dong Ik Shin ◽  
Young Kap Son ◽  
Chang Soo Han
Keyword(s):  
Image Processing ◽  
Image Data ◽  
Tunnel Lining ◽  
Inspection System ◽  
Visual Methods ◽  
Charge Coupled Device ◽  
Nondestructive Tests ◽  
Series Of Experiments ◽  
Analysis System ◽  
Periodic Inspections

Over the last several decades, many concrete tunnels have been constructed for roads, highways, and railways. For safety in concrete tunnels, periodic inspections have been conducted using nondestructive testing technologies and techniques. However, nondestructive tests cannot replace visual inspection because of their slow and complicated procedures. For this reason, their use has been limited to precision inspections. Visual methods of assessment also require significant time commitments, and they produce subjective results regarding measured crack data. This study proposes an inspection system for the rapid measurement of cracks in tunnel linings and provides an objective method for assessing crack data for safety purposes. The system consists of both image data acquisition and analysis systems. The acquisition system takes images with charge-coupled device (CCD) line-scan cameras. The analysis system extracts crack information from the acquired images using image processing. Measured crack information includes the thickness, length, and orientation of cracks. To improve the accuracy of crack recognition, the geometric properties and patterns of cracks in concrete structures should be applied to image processing. This proposed system was verified through a series of experiments in both laboratory and field environments. Key words: crack, inspection, image processing, tunnel lining, tunnel safety.

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