Computer vision-based color sorting for waste textile recycling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Zhou ◽  
Xingxing Zou ◽  
Wai Keung Wong
Keyword(s):  
Computer Vision ◽  
Hong Kong ◽  
Research Methods ◽  
Vision System ◽  
Raw Material ◽  
White Balance ◽  
Content Type ◽  
Textile Recycling ◽  
Computer Vision Technology ◽  
Sorting System

PurposeEfficient and high-accuracy intelligent color and material sorting systems are the main bottlenecks restricting the recycling of waste textiles. The mixing of waste textiles with different colors will make the reconstructed raw material of textile fiber useless or with low quality. In this study, some challenges about the automatic color sorting for waste textile recycling are discussed. A computer vision-based color sorting system for waste textile recycling is introduced, which can classify the required colors well and meet the efficiency requirements of an automatic recycling line.Design/methodology/approachThere are four aspects, (1) two cameras with different exposure times and white-balance parameters are involved for establishing the computer vision system. (2) Two standard color databases with two cameras are constructed. (3) A statistical model to determine the colors of textile samples is presented in which uniform sampling of pixels and mid-tone enhancing techniques are exploited. (4) The experiments with a number of waste textile samples from a factory in Hong Kong are conducted to illustrate the efficiency of the developed system.FindingsThe experiments with a number of waste textile samples from a factory in Hong Kong are reported. The total classification accuracy performs good. The research methods and results reported in this study can provide an important reference for improving the intelligent level of color sorting for waste textile recycling.Originality/valueIt is the first time to introduce computer vision technology to a color sorting system for recycling waste textiles, especially in a real recycling factory in Hong Kong. The research methods and results reported in this study also deliver guidance for designing a computer vision-based color sorting system for other industrial scenarios.

Vehicle Security Distance Control Based on Binocular Parallax Vision

2014 ◽  
Vol 644-650 ◽  
pp. 207-210
Author(s):  
Shuang Liu ◽  
Xiang Jie Kong ◽  
Ming Cai Shan
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
High Precision ◽  
Stereo Matching ◽  
Vision System ◽  
Intelligent Transportation ◽  
Distance Control ◽  
Calibration Methods ◽  
Computer Vision Technology ◽  
Vehicle Security

Binocular parallax vision system is a kind of computer vision technology. Two cameras on different locations can get two different pictures of same object. The space position of the object can be calculated by the parallax information of two different pictures. The binocular parallax vision technology includes cameras calibration, image processing, and stereo matching analysis. The paper will introduce the inside and outside parameters calibration methods, and combing the traffic applications, designed the calibrating scheme. The parameters that obtained according to the scheme can meet the demands of measuring the vehicle distance. The high precision can meet the needs of intelligent transportation vehicles in a security vehicles spacing survey, which is an effective way for measuring the front car distance.

Evaluation of poultry meat colour using computer vision system and colourimeter

2019 ◽  
Vol 121 (5) ◽  
pp. 1078-1087 ◽  
Author(s):  
Igor Tomasevic ◽  
Vladimir Tomovic ◽  
Predrag Ikonic ◽  
Jose Manuel Lorenzo Rodriguez ◽  
Francisco J. Barba ◽  
...  
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Meat Products ◽  
Rank Correlation ◽  
Poultry Meat ◽  
Computer Vision System ◽  
Colour Difference ◽  
Content Type ◽  
Trained Panel ◽  
Sample Test

Purpose The purpose of this paper is to investigate the ability of the computer vision system (CVS) to evaluate the colour of poultry meat. The advantages of the CVS over traditional methods were also explored. Design/methodology/approach The research was carried out on m. pectoralis major samples of three animals for each of the following four species: chicken, turkey, duck and goose. The total colour difference (ΔE) and the degree of difference of hue, chroma and lightness between the methods were calculated. In addition, a trained panel of 14 people was used to carry out three different similarity tests analysed using χ2 one sample test and one-way ANOVA. The correlation coefficient between CVS and colourimeter measures was evaluated using the Spearman rank correlation test. Findings The total colour difference (ΔE) between the methods employed was so large that the generated colour(s) could be considered more opposite than similar. The CVS-generated colour chips were more similar to the sample of the meat products visualised on the monitor compared to colourimeter-generated colour chips in all (100 per cent) individual trials performed. The use of the colourimeter for colour evaluation of lighter coloured poultry meat (chicken and turkey) was unrepresentative. Practical implications In this study, a CVS was developed to measure the colour of poultry meat as an alternative to conventional colourimeters. Originality/value The research has demonstrated that the use of a CVS should be considered a superior alternative to the traditional method for measuring colour of chicken, turkey, duck and goose meat.

The Tape Measurement System Based on Computer Vision Technology

2015 ◽  
Vol 738-739 ◽  
pp. 816-819
Author(s):  
Hong Zhou Li ◽  
Jie Lu ◽  
Jun Wang ◽  
Tao Jia
Keyword(s):  
Computer Vision ◽  
Template Matching ◽  
Vision System ◽  
Median Filter ◽  
Dark Field ◽  
Processing Technologies ◽  
Measurement Results ◽  
System Use ◽  
Dark Field Illumination ◽  
Computer Vision Technology

The paper devises a computer vision system based on virtual instruments to measure tape. The dark field illumination is chosen as Lampe-house in this system. Use Image processing technologies of Median filter, Image binarization, Template matching, Edge extraction to extract a reticle of tape. And compare it with standard tape enacted in this system to measure reticle error of the tape. Analyze various factors influencing the detection precision of the system. Tests show that the measurement results of this system are accurate, reliable and practicable.

Sequential additive manufacturing: automatic manipulation of 3D printed parts

2017 ◽  
Vol 23 (4) ◽  
pp. 653-659 ◽  
Author(s):  
Rafael Vidal Aroca ◽  
Carlos E.H. Ventura ◽  
Igor De Mello ◽  
Tatiana F.P.A.T. Pazelli
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Robotic Arm ◽  
Automation System ◽  
3D Printer ◽  
Computer Vision System ◽  
Content Type ◽  
3D Print ◽  
Speeded Up Robust Features ◽  
3D Printers

Purpose This paper aims to present a monitoring system and the usage of a robotic arm to remove finished parts of a three-dimensional (3D) printer build plate, enabling 3D printers to continuously build a sequence of parts. Design/methodology/approach The system relies on a 2-degree of freedom planar manipulator. The moment to remove printed parts from the printer build plate can be determined based on direct communication with the 3D printer control software or using information from a computer vision system that applies background subtraction and Speeded up Robust Features methods. Findings The proposed system automatically detects the end of standard 3D print jobs and controls the robotic arm to remove the part. Research limitations/implications Lighting variation can deteriorate the response of the computer vision system, which can be minimized using a controlled illumination environment. In addition, the printer build plate edges must be free so the parts can slip off the printer build plate when the robot pushes them out. Practical implications The system enables a more practical and automatized usage of 3D printers, reducing the need of human operators. Social implications The proposed system can reduce work hours of laboratory personnel, as there is no need to remove the printed parts manually before another job starts. Originality/value Computer vision system monitors the printing process and the automation system that enables continuous sequential 3D printing of parts. A prototype is described, which can be easily replicated with low cost parts.

Developments in computer vision system, focusing on its applications in quality inspection of fruits and vegetables-A review

2017 ◽  
Vol 38 (02) ◽  
Author(s):  
Santosh Chopde ◽  
Madhav Patil ◽  
Adil Shaikh ◽  
Bahvesh Chavhan ◽  
Mahesh Deshmukh
Keyword(s):  
Computer Vision ◽  
Fruits And Vegetables ◽  
Vision System ◽  
Cost Effective ◽  
Quality Analysis ◽  
Quality Inspection ◽  
Safety Standards ◽  
Cost Effective Technique ◽  
Recent Developments ◽  
Computer Vision Technology

Quality inspection of food is a tedious and labor intensive process. Ever-increasing population, losses in handling and processing and the increased expectation of food products of high quality and safety standards has raised the need for accurate, fast and objective quality determination methods. Manual quality inspection is a slow, costly, unreliable process and suffers from poor repeatability. Computer vision provides one alternative for an automated, non-destructive and cost-effective technique to accomplish these requirements. Computer vision is a rapid, economic, consistent, objective inspection and evaluation technique. Computer vision has been successfully adopted for the quality analysis of meat and fish, fruits, vegetables and bread with applications ranging from routine inspection to the complex vision guided robotic control. The paper presents the recent developments in computer vision technology along with important aspects of image processing techniques coupled with application of computer vision technology in quality inspection of fruits and vegetables.

scholarly journals Enhancing camera surveillance using computer vision: a research note

2018 ◽  
Vol 41 (2) ◽  
pp. 292-307 ◽  
Author(s):  
Haroon Idrees ◽  
Mubarak Shah ◽  
Ray Surette
Keyword(s):  
Computer Vision ◽  
Law Enforcement ◽  
Police Department ◽  
Law Enforcement Agencies ◽  
Ongoing Research ◽  
Content Type ◽  
Surveillance Camera ◽  
Surveillance Cameras ◽  
Computer Vision Technology ◽  
The Impact

Purpose The growth of police operated surveillance cameras has out-paced the ability of humans to monitor them effectively. Computer vision is a possible solution. An ongoing research project on the application of computer vision within a municipal police department is described. The paper aims to discuss these issues. Design/methodology/approach Following the demystification of computer vision technology, its potential for police agencies is developed within a focus on computer vision as a solution for two common surveillance camera tasks (live monitoring of multiple surveillance cameras and summarizing archived video files). Three unaddressed research questions (can specialized computer vision applications for law enforcement be developed at this time, how will computer vision be utilized within existing public safety camera monitoring rooms, and what are the system-wide impacts of a computer vision capability on local criminal justice systems) are considered. Findings Despite computer vision becoming accessible to law enforcement agencies the impact of computer vision has not been discussed or adequately researched. There is little knowledge of computer vision or its potential in the field. Originality/value This paper introduces and discusses computer vision from a law enforcement perspective and will be valuable to police personnel tasked with monitoring large camera networks and considering computer vision as a system upgrade.

A critical comparison analysis between human and machine-generated tags for the Metropolitan Museum of Art's collection

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elena Villaespesa ◽  
Seth Crider
Keyword(s):  
Computer Vision ◽  
Selection Process ◽  
Vision System ◽  
Metropolitan Museum ◽  
Content Type ◽  
Traditional Art ◽  
Study Results ◽  
The Subject ◽  
New Perspective ◽  
Art And Architecture

PurposeBased on the highlights of The Metropolitan Museum of Art's collection, the purpose of this paper is to examine the similarities and differences between the subject keywords tags assigned by the museum and those produced by three computer vision systems.Design/methodology/approachThis paper uses computer vision tools to generate the data and the Getty Research Institute's Art and Architecture Thesaurus (AAT) to compare the subject keyword tags.FindingsThis paper finds that there are clear opportunities to use computer vision technologies to automatically generate tags that expand the terms used by the museum. This brings a new perspective to the collection that is different from the traditional art historical one. However, the study also surfaces challenges about the accuracy and lack of context within the computer vision results.Practical implicationsThis finding has important implications on how these machine-generated tags complement the current taxonomies and vocabularies inputted in the collection database. In consequence, the museum needs to consider the selection process for choosing which computer vision system to apply to their collection. Furthermore, they also need to think critically about the kind of tags they wish to use, such as colors, materials or objects.Originality/valueThe study results add to the rapidly evolving field of computer vision within the art information context and provide recommendations of aspects to consider before selecting and implementing these technologies.

Tourist gaze through computer vision: where, what, how and why?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kun Zhang ◽  
Hanqin Qiu ◽  
Jingyue Wang ◽  
Chunlin Li ◽  
Jinyi Zhang ◽  
...  
Keyword(s):  
Computer Vision ◽  
Management Strategies ◽  
Advanced Technology ◽  
Content Type ◽  
Tourist Gaze ◽  
Cultural Conditions ◽  
Computer Vision Technology ◽  
Research Questions ◽  
Questionnaire Surveys ◽  
High Engagement

Purpose This paper aims to answer the following four research questions: Where do tourists gaze at the destination? What do tourists gaze at the destination? How do tourists gaze differently? Why do tourists gaze differently referring to relevant theory? Design/methodology/approach With a computer vision approach, this study illustrated a series of maps that reflect where and what do tourists gaze at and compared the differences in the visual perceptions among Asian, European and North American tourists in Hong Kong. Findings The findings confirm that the “tourist gaze” is influenced by geographical and cultural conditions. The conclusions provided three types of implementations for destination management strategies and advocated a high engagement with computer vision technology. Originality/value In theory, this study proves that the “tourist gaze” is influenced by geographical and cultural conditions. The study’s methodological contribution lies in applying advanced technology of visual content analysis for big data relevant to the issue of the tourist gaze. Practically, the finding that has not been achieved via previous questionnaire surveys will serve as a reference for tourism recommendations and precision marketing. In addition, its practical contribution is that it offers a means by which to explore tourists’ perceptions of destinations and understand the attractiveness of destinations to tourists.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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