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“2024 IEEE Access Best Video Award Part 2” "Visual Positioning and Dimensions Measurement of Lathe Tool Using Wavelets for Edge Detection" Manuscript ID Access-2024-29122 By Shweta Kumari Department of ECE, Manav Rachna University, Faridabad Co-Authors Prof. (Dr.) Charu Pathak Prof. (Dr.) Shruti Vashist Manav Rachna University Manav Rachna University 10/13/2024 Shweta Kumari Oct-2024 1.
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Contents I. INTRODUCTION II. LITERATURE REVIEW III.PROPOSED METHOD AND ALGORITHM IV.EXPERIMENTAL SETUP AND RESULTS V. CONCLUSIONS VI.REFERENCES 10/13/2024 Shweta Kumari Oct-2024 2.
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10/13/2024 Shweta Kumari Oct-2024 3 Introduction Importance of precise tool positioning in smart manufacturing and mechanical automation Focus on micro parts manufacturing where millimeter- level accuracy is critical Dimension estimation of lathe tools for long-term wear monitoring Develop a low-cost tool positioning system using high- resolution images.
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10/13/2024 Shweta Kumari Oct-2024 4 Applications Automated Positioning devices. Robotic surgical tools, milling machine (lathe).
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10/13/2024 Shweta Kumari Oct-2024 5 Methods for Verification of Autuomatic Tool Positioning Various methods of tool positioning have been in use since last few years: co-ordinate measuring machine, offset measurement method, atomic force microscope, laser interferometers, scanning electron microscopes, linear encoders, actuators, laser interferometers.
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10/13/2024 Shweta Kumari Oct-2024 6 Challenges in Accurate tool positioning •Sensor data accuracy is not guaranteed; due to drifts and noise. •Goal: Achieve correct tool positioning at the millimeter level. •Solution: Utilizing image processing as a tool for higher precision..
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10/13/2024 Shweta Kumari Oct-2024 7 Image Processing Challenges •Noise in images impacts detection accuracy •Non-local means filter effectiveness declines with high noise levels •Results in blurry images and loss of clarity in the denoised output.
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10/13/2024 Shweta Kumari Oct-2024 8 Literature Review Paper title Authors Published By Method Features/Finding s Applications/ Focus Limitations/Gap Tool condition monitoring using the chain code technique, pixel matching and morphological operations E Sharma, P Mahapatra, A Doegar Conference (IEEE) (2017) 10.1109/CIACT.20 17.7977270 chain code technique, pixel matching and morphological operations extracting the shape of the tool. Depending upon the shape of the tool, it has been classified as ‘Normal’ or ‘Worn’. evaluating the tool life and timely replacing it, if it is not in favourable condition. Low accuracy in the range of mm..
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10/13/2024 Shweta Kumari Oct-2024 9 Literature Review Contd….. Paper title Authors Journal / Conf DOI (month/ year) Method Features/Finding s Applications/ Focus Limitations/Gap A Machine Vision System for Tool Positioning and Its Verification P.K. Mahapatra, R. Thareja, M. Kaur, A. Kumar Journal (Sage) (2015) https://doi.org/10. 1177/0020294015 602499 using a new bio- inspired technique named Negative Selection Algorithm, a model of Artificial Immune System. developed system extracts the difference between the actual and target positions of the tool from the captured images through image processing and calculates the error. milling and lathe machines, industrial applications, applications in mechanical, aerospace, medical and manufacturing processes Low resolution in the range of millimetres.
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10/13/2024 Shweta Kumari Oct-2024 10 Literature Review Contd….. Paper title Authors Journal / Conf DOI (month/ year) Method Features/Finding s Applications/ Focus Limitations/Gap Error optimization using Bat and PSO algorithms for machine vision system based tool movement A. Garg, P. K. Mahapatra, A. Kumar Conference (IEEE) (2014) 10.1109/ICACCI.2 014.6968298 comparison of Bat and Particle Swarm Optimization (PSO) algorithms Bat algorithm outperforms the PSO algorithm. for optimization of lathe tool positional error in a developed machine vision system for determination of lathe tool position and verification. Does’nt give good results if the image is blurr, has low lighting.
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10/13/2024 Shweta Kumari Oct-2024 11 Literature Review Contd….. Paper title Authors Journal / Conf DOI (month/ year) Method Features/Fi ndings Applications/ Focus Limitations/Gap Wear analysis in cutting tools by the technique of image processing with the application of two-dimensional matrices JH Arévalo- Ruedas, E Espinel- Blanco, E Florez-Solano Journal (Journal of Physics) (2021) 10.1088/1742- 6596/2139/1/0 12018 The method described involves analyzing tool wear in the metal industry using digital image processing and MATLAB software. Two-dimensional matrices are employed to monitor the status of inserts by comparing images in gray scales. Additionally, an analysis method based on interfaces is under study, enabling users to access a implemented database and a set of images to determine tool wear. Importance of Tool Life, Tool Deterioratio n, Effective Wear Control, Interface- based Analysis metal industry 1.Reliance on two-dimensional matrix physical methods in Matlab software limits the analysis to grayscale comparison, potentially overlooking three-dimensional wear aspects and material variations. 2.Emphasis on simple geometric descriptors may oversimplify wear characterization, missing nuanced features relevant to wear mechanisms. 3.Artificial vision system's ability to detect wear may be limited to significant changes, potentially missing subtle wear progression or leading to premature tool changes. 4.Precision positioning requirement for insert placement before and after machining processes could introduce variability, impacting wear assessment accuracy..
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●Challenges in edge detection The main application of edge detection is in detecting objects in an image. Identifying the correct edge is a challenge. 10/13/2024 Shweta Kumari Oct-2024 12 Why Edge Detection Algorithms ?.
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10/13/2024 Shweta Kumari Oct-2024 13 Objectives of Research Correct Estimation of dimensions of Lathe tool using images. Correct Estimation of position of Lathe tool using images..
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Methodology 10/13/2024 Shweta Kumari Oct-2024 14.
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10/13/2024 Shweta Kumari Oct-2024 15 Results.
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10/13/2024 Shweta Kumari Oct-2024 16 Results Contd…..
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10/13/2024 Shweta Kumari Oct-2024 17 Results Contd…..
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Error Improvement Using Denoising Techniques with Sobel Operator •Combination of db1 Wavelet (Level 1) & SURE Denoising: •Minimum absolute error: -0.0004 •Maximum absolute error: 0.1810 •Sobel Operator with Non-Local Means Filter for Denoising: •Minimum absolute error: 0.0011 •Maximum absolute error: 0.1815 10/13/2024 Shweta Kumari Oct-2024 18 Results Contd…..
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10/13/2024 Shweta Kumari Oct-2024 19 Results Contd…..
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10/13/2024 Shweta Kumari Oct-2024 20 Results Contd…..
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10/13/2024 Shweta Kumari Oct-2024 21 Conclusions • In Table 4, it is observed that the length of the lathe tool, ab, is greater than cd. Additionally, bc is greater than da. Therefore, the lathe tool has a trapezoidal shape..
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10/13/2024 Shweta Kumari Oct-2024 22 Conclusions Contd…. •Conclusion: Sobel operator with Daubechies wavelet preprocessing yields superior accuracy for mm-level precision •Operator choice: Sobel selected for time-efficient computation and smooth edge detection •Adaptive coefficient: No fixed magnitude, allowing for customizable edge visibility •Wavelet functionality: Increasing vanishing moments lead to sparser image representations •Daubechies advantages: Nonlinear phase response advantageous for image processing tasks •Concentrated energy: Energy primarily focused near the beginning of support, enhancing computational efficiency •Superior smoothness: Maximum vanishing moments achieved for given support width •Denoising efficiency: Daubechies wavelet at level 1 via SURE method efficiently removes Gaussian noise and restores image details.
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Advancements in Automated Technology •Need for High Accuracy Machines: •Essential in manufacturing and healthcare •Research Outcomes: •Development of more accurate automated systems •Detection and warning of inaccurate positioning and size of lathe tools •Benefits of Proposed Systems: •Image-based •Contactless •Cost-effective 10/13/2024 Shweta Kumari Oct-2024 23 Outcome of the Research.
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Precise tool positioning system demonstrated with minimal error Effective dimension estimation for monitoring tool wear 10/13/2024 Shweta Kumari Oct-2024 24 Conclusions.
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Error Optimization techniques can be applied further for betterment in results. Further improvement in noise reduction techniques. 10/13/2024 Shweta Kumari Oct-2024 25 Future Scope.
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10/13/2024 Shweta Kumari Oct-2024 26 References.
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10/13/2024 Shweta Kumari Oct-2024 27 References Contd…..
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10/13/2024 Shweta Kumari Oct-2024 28 References Contd…..
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10/13/2024 Shweta Kumari Oct-2024 29 References Contd…..
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Thank you! 10/13/2024 Shweta Kumari Oct-2024 30.