High Accuracy High Integrity Train Positioning based on GNSS and Image Processing Integration

2021 ◽  
Author(s):  
Alessandro Neri ◽  
Federica Battisti ◽  
Sara Baldoni ◽  
Michele Brizzi ◽  
Luca Pallotta ◽  
...  
Keyword(s):  
Image Processing ◽  
High Accuracy ◽  
High Integrity ◽  
Train Positioning

scholarly journals Smart Dye Inspection System in Textile Industry

2020 ◽  
Vol 8 (6) ◽  
pp. 5061-5063
Keyword(s):  
Image Processing ◽  
Reference Material ◽  
Textile Industry ◽  
High Accuracy ◽  
Inspection System ◽  
Manual Operation ◽  
Image Processing Techniques ◽  
Manual Inspection ◽  
Processing Techniques

Inspection on the dyed material in the textile industry is facing a challenging task owing to the accurate measurement of the dye concentration added. Currently manual inspection is done. It consumes more time and less accurate. The proposed work provides a solution to above problem. The image of reference material (cloth) is captured and the features are extracted using image processing techniques. The color concentration of both the reference material and the test fabric is compared. If the dye concentration of the test fabric matches with the reference material, then it is a perfect dyed cloth whereas for mismatched samples, the concentration is to be adjusted is displayed. This smart dyeing inspection system reduces the manual operation and saves time and results in high accuracy.

scholarly journals PENDETEKSIAN OBJEK ROKOK PADA VIDEO BERBASIS PENGOLAHAN CITRA DENGAN MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER

2018 ◽  
Vol 1 (3) ◽  
pp. 92
Author(s):  
Kadek Oki Sanjaya ◽  
Gede Indrawan ◽  
Kadek Yota Ernanda Aryanto
Keyword(s):  
Image Processing ◽  
Detection System ◽  
High Accuracy ◽  
Special Study ◽  
Cascade Classifier ◽  
Integral Image ◽  
Main Method ◽  
Average Accuracy ◽  
Haar Features ◽  
Haar Cascade

Object detection is a topic widely studied by the scientists as a special study in image processing. Although applications of this topic have been implemented, but basically this technology is not yet mature, futher research is needed to developed to obtain the desired result. The aim of the present study is to detect cigarette objects on video by using the Viola Jones method (Haar Cascade Classifier). This method known to have speed and high accuracy because of combining some concept (Haar features, integral image, Adaboost, and Cascade Classifier) to be a main method to detect objects. In this research, detection testing of cigarettes object is in samples of video with the resolution 160x120 pixels, 320x240 pixels, 640x480 pixels under condition of on 1 cigarette object and condition 2 cigarettes object. The result of this research indicated that percentage of average accuracy highest 93.3% at condition 1 cigarette object and 86,7% in the condition 2 cigarette object that was detected on the video with resolution 640x480 pixels, while the percentage of accuracy lowest 90% at condition 1cigarette object, and 81,7% at the condition 2 cigarette objects, detected on the video with the lowest resolution 160x120 pixels. The percentage of average errors at detection cigarettes object was inversely with percentage of accuracy. So that the detection system is able to better recognize the object of the cigarette, then the number of samples in the database needs to be improved and able to represent various types of cigarettes under various conditions and can be added new parameters related to cigarette object

scholarly journals Depth image correction for intel realsense depth camera

2020 ◽  
Vol 19 (2) ◽  
pp. 1021
Author(s):  
Hyun Jun Park ◽  
Kwang Baek Kim
Keyword(s):  
Image Processing ◽  
Infrared Radiation ◽  
Infrared Camera ◽  
High Accuracy ◽  
Depth Image ◽  
Depth Information ◽  
Depth Camera ◽  
Image Correction ◽  
Image Processing Techniques ◽  
Processing Techniques

<p><span>Intel RealSense depth camera provides depth image using infrared projector and infrared camera. Using infrared radiation makes it possible to measure the depth with high accuracy, but the shadow of infrared radiation makes depth unmeasured regions. Intel RealSense SDK provides a postprocessing algorithm to correct it. However, this algorithm is not enough to be used and needs to be improved. Therefore, we propose a method to correct the depth image using image processing techniques. The proposed method corrects the depth using the adjacent depth information. Experimental results showed that the proposed method corrects the depth image more accurately than the Intel RealSense SDK.</span></p>

Realization of Car’s Frontal Projected Area Based on OpenCV

2013 ◽  
Vol 300-301 ◽  
pp. 1673-1676 ◽  
Author(s):  
Chun Bo Dong ◽  
Xing Jun Hu ◽  
Yan Wang ◽  
Li Min Fu
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Accuracy ◽  
Median Filtering ◽  
Contour Extraction ◽  
Projected Area ◽  
Automotive Body ◽  
Body Development ◽  
Image Processing Algorithms

Digital image processing technology applied to the field of automotive body development, especially the aerodynamic development of the external shape of automobile. This method and its corresponding software improve the efficiency compared with other traditional fluid software tools in processing the car’s front area, reduce artificial error, and have high accuracy. Digital image processing algorithms used in this article includes Image Gray, Median Filtering, Image Segmentation, Contour Extraction and so on.

The Circle-End-Face Centering Device Based on Image Processing

2014 ◽  
Vol 926-930 ◽  
pp. 3447-3450
Author(s):  
Yong Bo Li ◽  
Yun Zhao Xu ◽  
Jia He
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
High Stability ◽  
Least Square Method ◽  
High Accuracy ◽  
Concentric Circle ◽  
Least Square ◽  
Programmable Logic ◽  
Edge Extraction ◽  
Stability And Accuracy

The circle-end-face centering device which is in the base of image processing accomplishes the center of the cylinders end face by digital image processing. Through edge extraction and doing the matching in the calculation of the least square method, the coordinate of the central of the circle can be calculated. At last, the drill will be moved to the central of the circle and do the punching by the actuator. This equipment is in the high accuracy and speed compared with the traditional way and the concentric circle laser of marking with the center. Meanwhile, the actuator consists of the programmable logic controller, touch panel and servo drivers which is in the high stability and accuracy. Certainly it is easy to be controlled by the method.

High-Accuracy and Low-Cost Chamfering System by a Material-Handling Robot –Individual Error Compensation Using Image Processing–

2009 ◽  
Vol 3 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Naoki Asakawa ◽  
◽  
Hidetake Tanaka ◽  
Tomoya Kiyoshige ◽  
Masatoshi Hirao ◽  
...  
Keyword(s):  
Image Processing ◽  
Error Compensation ◽  
Material Handling ◽  
Low Cost ◽  
High Accuracy ◽  
Processing Technology ◽  
Experimental Result ◽  
Robot Hand ◽  
Dimensional Error ◽  
System A

The study deals with an automation of chamfering by a material-handling robot with considering of accuracy and costs. The study focused on automation of chamfering without influence of individual dimensional error of workpiece. A casted impeller usually chamfered with handwork is treated in the study as an example of a workpiece having individual dimensional error. In the system, a file driven by air reciprocating actuator is used as a chamfering tool and image processing technology is used to compensate the dimensional error of the workpiece. The robot hand carries a workpiece instead of a chamfering tool both for chamfering and for material handling. From the experimental result, the system is found effective to chamfer a workpiece having dimensional error automatically.

Measurement of Vehicle Tire Footprint Pattern and Pressure Distribution Using Piezoresistive Force Sensor Mat and Image Analysis

2010 ◽  
Vol 437 ◽  
pp. 467-471 ◽  
Author(s):  
Rong Sheng Lu ◽  
Ning Liu ◽  
Xiao Huai Chen
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Pressure Distribution ◽  
Digital Image Processing ◽  
Force Sensor ◽  
High Accuracy ◽  
Envelope Curve ◽  
Calculation Algorithm ◽  
Measurement Principle ◽  
Novel Method

In this paper, a novel method to measure the footprint pattern of a vehicle tire and its pressure distribution will be put forward. The measurement principle will be presented. The automatic digital image processing methods of the footprint pattern and pressure distribution images, which are used to characterize the footprint pattern, are described. Especially, a novel envelope curve calculation algorithm for finding a pattern boundary is introduced. The experimental results have shown that the methods mentioned in the paper are of robustness and high accuracy.

Study on CCD Measurement System Based on Image Processing

2012 ◽  
Vol 538-541 ◽  
pp. 2143-2146
Author(s):  
Wen Hui Zhao ◽  
Zhen Yun Duan ◽  
Ping Zhao ◽  
Wen Zhen Zhao
Keyword(s):  
Image Processing ◽  
Measurement System ◽  
Digital Image ◽  
Image Acquisition ◽  
High Accuracy ◽  
Software System

The measurement system based on industry CCD and image processing was established to measure 2D sizes of parts. The CCD sensors, lenses, illumination and image acquisition modes were chosen to establish hardware part, according to the requirement of views and precision. The software system was developed to extract the edge of the part from the digital image and transform it to a polynomial. The actual sizes of the part were measured with relative comparison calibrating method. Tests and analyses show that it is an untouched, automatic 2D Measurement system with high accuracy.

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