scholarly journals Image Processing for Sustainable Remodeling: Introduction to Real-time Quality Inspection System of External Wall Insulation Works

2019 ◽  
Vol 11 (4) ◽  
pp. 1081 ◽  
Author(s):  
Sang-Ho Cho ◽  
Kyung-Tae Lee ◽  
Se-Heon Kim ◽  
Ju-Hyung Kim
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Image Data ◽  
Inspection System ◽  
Quality Inspection ◽  
Labor Costs ◽  
External Wall ◽  
Graphic Data ◽  
Repair Costs ◽  
Serious Injury

The external wall insulation method was introduced to enhance the energy efficiency of existing buildings. It does not cause a decrease of inner space and costs less in comparison to methods that insert insulation panels inside walls. However, it has been reported that external wall insulation boards are disconnecting from walls due to malfunctions of the adhesive. This causes not only repair costs, but also serious injury to pedestrians. Separation problems occur when the bonded positions are incorrect and/or the total area and thickness of the adhesive is smaller than the required amount. A challenge is that these faults can hardly be inspected after installing boards. For this reason, a real-time inspection system is necessary to detect potential failure during adhesive works. Position, area and thickness are major aspects to inspect, and thus a method to process image data of these seems efficient. This paper presents a real-time quality inspection system introducing image processing technology to detect potential errors during adhesive works of external wall insulation, and it is predicted to contribute to achieving sustainable remodeling construction by reducing squandered material and labor costs. The system consists of a graphic data creation module to capture the results of adhesive works and a quality inspection module to judge the pass or fail of works according to an algorithm. A prototype is developed and validated against 100 panels with 800 adhesive points.

Design and Realization of Double-Buses Modularized Structure Image Processing System

2011 ◽  
Vol 179-180 ◽  
pp. 257-263
Author(s):  
Biao Zhang ◽  
Yue Huan Wang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Parallel Structure ◽  
Image Processing System ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Data Bus ◽  
Time Image

It is double-buses modularized structure with the combination of system control bus and high speed image data bus which is put forward in this paper. Moreover, the management and distribution of image data bus and the design of system reset procedure are elaborated through which a kind of practical real-time image processing system with the strongest adaptability and capability for structure programming and system expansion. The computing capability in infrared test of small target is greatly improved which is verified in tri DSP model system. According to complex image processing task, through the adjustment of parallel structure of image processing algorithm, the higher parallel efficiency can be realized. So to say, the system structure has a great adjustment to algorithm parallel structure and can be successfully used as a platform for universal real-time image processing.

Real-time quality inspection system for textile industries

1991 ◽  
Author(s):  
Stavros A. Karkanis ◽  
K. Tsoutsou ◽  
J. Vergados ◽  
Basile D. Dimitriadis
Keyword(s):  
Real Time ◽  
Inspection System ◽  
Quality Inspection ◽  
Textile Industries

scholarly journals A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shida Zhao ◽  
Guangzhao Hao ◽  
Yichi Zhang ◽  
Shucai Wang
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Time ◽  
Image Data ◽  
Semantic Segmentation ◽  
Segmentation Method ◽  
Single Image ◽  
Evaluation Standard ◽  
Segmentation Accuracy ◽  
Image Dataset

How to realize the accurate recognition of 3 parts of sheep carcass is the key to the research of mutton cutting robots. The characteristics of each part of the sheep carcass are connected to each other and have similar features, which make it difficult to identify and detect, but with the development of image semantic segmentation technology based on deep learning, it is possible to explore this technology for real-time recognition of the 3 parts of the sheep carcass. Based on the ICNet, we propose a real-time semantic segmentation method for sheep carcass images. We first acquire images of the sheep carcass and use augmentation technology to expand the image data, after normalization, using LabelMe to annotate the image and build the sheep carcass image dataset. After that, we establish the ICNet model and train it with transfer learning. The segmentation accuracy, MIoU, and the average processing time of single image are then obtained and used as the evaluation standard of the segmentation effect. In addition, we verify the generalization ability of the ICNet for the sheep carcass image dataset by setting different brightness image segmentation experiments. Finally, the U-Net, DeepLabv3, PSPNet, and Fast-SCNN are introduced for comparative experiments to further verify the segmentation performance of the ICNet. The experimental results show that for the sheep carcass image datasets, the segmentation accuracy and MIoU of our method are 97.68% and 88.47%, respectively. The single image processing time is 83 ms. Besides, the MIoU of U-Net and DeepLabv3 is 0.22% and 0.03% higher than the ICNet, but the processing time of a single image is longer by 186 ms and 430 ms. Besides, compared with the PSPNet and Fast-SCNN, the MIoU of the ICNet model is increased by 1.25% and 4.49%, respectively. However, the processing time of a single image is shorter by 469 ms and expands by 7 ms, respectively.

scholarly journals Embedded Real-Time Image Processing System Based on DM6446+FPGA Architecture

2012 ◽  
Vol 6-7 ◽  
pp. 542-546
Author(s):  
Bao Feng Zhang ◽  
Yi Yang ◽  
Jun Chao Zhu ◽  
Cui Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Image Data ◽  
Image Processing System ◽  
Real Time Image Processing ◽  
Fpga Architecture ◽  
Real Time Image ◽  
Output Field ◽  
Time Image

To solve the traditional image processing system problem such as large in size, high power consumption and poor real-time, an embedded real-time image processing system is designed based on TMS320DM6446+FPGA architecture. DM6446 as the core of the system is responsible for the scheduling, image processing algorithms, image output; field programmable gate array (FPGA) is responsible for capturing real-time image data, image preprocessing. The paper describes the principle of the real-time image processing system. The experiment proved that the system can achieve real-time acquisition, processing and output of image data in 20 frames per second.

Research on ROI Image Processing Technology of Teleoperation Construction Robot Based on Trinocular Stereo Vision

2011 ◽  
Vol 130-134 ◽  
pp. 2581-2584
Author(s):  
Ming De Gong ◽  
Bo Tian ◽  
Yue Ning ◽  
Wei Wei Li
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Three Dimensional ◽  
Image Data ◽  
Robot System ◽  
The Real ◽  
Human Eye ◽  
Long Time ◽  
Calibration Algorithm

Digital image has a large quantity of image data and long time for transmitting. It affects the real-time of the teleoperation robot system. According to the basic principle of human eye identifying objects and image blurry processing, a new image processing method of simulating human eye range of interest (ROI) is proposed. The method uses the calibration algorithm of three-dimensional stereo target and the Gauss blurred principle. The non-ROI region is blurred to hierarchy for extracting the feature and measurement to finish the image processing tasks. The experimental results showed that the quality of the images was assured and the transmission time was shorted. The real-time of the teleoperation robot system was also guaranteed.

The System of Real-Time Image Processing and Combustion Diagnosis Based on Omap3530

2013 ◽  
Vol 816-817 ◽  
pp. 535-539
Author(s):  
Yu Jie Zhang ◽  
Ying Ying Wu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Combustion Process ◽  
Engineering Application ◽  
Image Data ◽  
Signal Acquisition ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
And Control ◽  
Time Image

In this paper, according to the characteristics of power plant boiler combustion process, to use the image processing technology to extract feature quantity of flame combustion. For boiler combustion diagnosis real-time requirements, the system of real-time image processing and combustion diagnosis based on OMAP3530 was designed and developed. The system makes full use of the OMAP3530 dual-core processor, and makes the operating system and control, video signal acquisition, human-computer interaction, output driving tasks run on the ARM, and the image data processing tasks are completed by DSP. It maximizes the performance of OMAP3530, improves the real-time performance of the system. Experiments were carried out in 200MW boiler. The results show that, the system is simple and practical, which can realize the combustion diagnosis of the running boiler and provide the reliable basis for the safety and economic operation of power station boiler. It has a certain engineering application prospect.

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.

Sign in / Sign up

Export Citation Format

Share Document