Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing
The Thread Art Machine project automates the traditional, labour-intensive process of string art creation by integrating advanced computational and manufacturing techniques. Utilizing CAD models in Fusion 360, CNC machining, 3D printing, and Arduino programming, the machine precisely sets threads an...
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IEEE
2025-01-01
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Online Access: | https://ieeexplore.ieee.org/document/10844087/ |
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author | Spoorthi Singh Navya T. Hegde Mohammad Zuber Yuvraj Singh Nain Vishnu G. Nair |
author_facet | Spoorthi Singh Navya T. Hegde Mohammad Zuber Yuvraj Singh Nain Vishnu G. Nair |
author_sort | Spoorthi Singh |
collection | DOAJ |
description | The Thread Art Machine project automates the traditional, labour-intensive process of string art creation by integrating advanced computational and manufacturing techniques. Utilizing CAD models in Fusion 360, CNC machining, 3D printing, and Arduino programming, the machine precisely sets threads and nails to form intricate string art patterns. Key components of the machine include adaptive algorithms for real-time thread tension adjustments and transposed convolution layers for image processing, which enhance both the accuracy and aesthetic quality of the final artwork. The project faced challenges such as material selection, CAD design, and hardware-software interfacing, all of which were addressed through iterative design and validation processes. A convolutional neural network (CNN) was employed to process grayscale images, extracting and reconstructing features using pooling and deconvolution techniques, with the model achieving stable performance over multiple epochs. The machine’ s calibration system, involving LDR sensors and laser alignment, ensures precision in thread placement. The resulting string art pieces, derived from famous images, demonstrate the machine’ s capability to capture key features through varying string densities, offering a blend of mathematical precision and artistic abstraction. Validation through training and testing revealed consistent performance, with minimal overfitting, as indicated by flat training and validation loss and accuracy curves. |
format | Article |
id | doaj-art-3c6693664cde4c3cbba20db01269a822 |
institution | Kabale University |
issn | 2169-3536 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj-art-3c6693664cde4c3cbba20db01269a8222025-01-28T00:01:37ZengIEEEIEEE Access2169-35362025-01-0113149081492110.1109/ACCESS.2025.353097010844087Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art DesigningSpoorthi Singh0https://orcid.org/0000-0001-8263-1698Navya T. Hegde1Mohammad Zuber2https://orcid.org/0000-0002-5790-5009Yuvraj Singh Nain3Vishnu G. Nair4https://orcid.org/0000-0003-0599-748XDepartment of Mechatronics, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, Karnataka, IndiaDepartment of Aeronautical and Automobile Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, Karnataka, IndiaDepartment of Aeronautical and Automobile Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, Karnataka, IndiaDepartment of Mechatronics, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, Karnataka, IndiaDepartment of Aeronautical and Automobile Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, Karnataka, IndiaThe Thread Art Machine project automates the traditional, labour-intensive process of string art creation by integrating advanced computational and manufacturing techniques. Utilizing CAD models in Fusion 360, CNC machining, 3D printing, and Arduino programming, the machine precisely sets threads and nails to form intricate string art patterns. Key components of the machine include adaptive algorithms for real-time thread tension adjustments and transposed convolution layers for image processing, which enhance both the accuracy and aesthetic quality of the final artwork. The project faced challenges such as material selection, CAD design, and hardware-software interfacing, all of which were addressed through iterative design and validation processes. A convolutional neural network (CNN) was employed to process grayscale images, extracting and reconstructing features using pooling and deconvolution techniques, with the model achieving stable performance over multiple epochs. The machine’ s calibration system, involving LDR sensors and laser alignment, ensures precision in thread placement. The resulting string art pieces, derived from famous images, demonstrate the machine’ s capability to capture key features through varying string densities, offering a blend of mathematical precision and artistic abstraction. Validation through training and testing revealed consistent performance, with minimal overfitting, as indicated by flat training and validation loss and accuracy curves.https://ieeexplore.ieee.org/document/10844087/String art automationstring art and technologydigital fabricationprecision manufacturingcomputational artalgorithmic design |
spellingShingle | Spoorthi Singh Navya T. Hegde Mohammad Zuber Yuvraj Singh Nain Vishnu G. Nair Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing IEEE Access String art automation string art and technology digital fabrication precision manufacturing computational art algorithmic design |
title | Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing |
title_full | Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing |
title_fullStr | Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing |
title_full_unstemmed | Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing |
title_short | Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing |
title_sort | automated string art creation integrated advanced computational techniques and precision art designing |
topic | String art automation string art and technology digital fabrication precision manufacturing computational art algorithmic design |
url | https://ieeexplore.ieee.org/document/10844087/ |
work_keys_str_mv | AT spoorthisingh automatedstringartcreationintegratedadvancedcomputationaltechniquesandprecisionartdesigning AT navyathegde automatedstringartcreationintegratedadvancedcomputationaltechniquesandprecisionartdesigning AT mohammadzuber automatedstringartcreationintegratedadvancedcomputationaltechniquesandprecisionartdesigning AT yuvrajsinghnain automatedstringartcreationintegratedadvancedcomputationaltechniquesandprecisionartdesigning AT vishnugnair automatedstringartcreationintegratedadvancedcomputationaltechniquesandprecisionartdesigning |