3D Scanner

Abstract

This project focused on enhancing 3D scanning technology toimprove accuracy, precision, and affordability across various industries. This study highlights the transition from 2D to 3D modeling insectorssuch as manufacturing, healthcare,entertainment, and cultural heritage preservation. It addresses the current challenges in 3D scanning, includingenvironmental factors affecting scan qualityandcostbarriers for smallerorganizations. This project aims to develop an improved 3D scanner using the Arduino Uno, Sharp IR sensor, SD card module, and motor components. The methodology involves hardware setup, sensor calibration, scanning process optimization, data storage, motorcontrol,and data processingtechniques. Thisresearchemphasizes the potential for reducing waste, minimizing production errors, detectingminordefects,andcreatingaccurateprostheticreplicas. By improving the accessibility and affordability of 3D scanning technology,thisstudycontributestoadvancingdigitaltwin creation, virtual modeling, and other applications across multiple industries.

Introduction

Technology is rapidly advancing across industries, driving a shift from 2D to 3D modeling for better digital representation, accessibility, and accuracy. 3D scanning technology captures detailed real-world object data, enabling creation of precise digital models that improve design processes and reduce errors. However, challenges remain, such as data quality affected by environmental factors, high costs, and difficulties detecting minor defects or customizing prosthetics.

The project aims to develop an affordable, accurate, and well-calibrated 3D scanner system to minimize production errors, reduce waste, and enhance accessibility.

Literature survey traces the evolution of 3D scanning from expensive laser-based systems in the 1980s-90s, to the rise of open-source hardware like Arduino post-2005, leading to DIY affordable scanners between 2010-2017. Recent developments (2018-present) focus on hybrid systems using infrared, ultrasonic, and time-of-flight sensors, along with improved automation, portability, and user-friendly interfaces.

Methodology involves building a 3D scanner using Arduino Uno, Sharp IR sensor, motors, and SD card modules. Key steps include hardware setup, sensor calibration, systematic scanning with motor control, data storage, processing raw sensor data into 3D coordinates, generating 3D mesh models, refining accuracy with error correction, and exporting models for visualization.

Conclusion

This project successfully developed an improved 3D scanning technologyusinganArduinoUno,SharpIRsensor,SDcard module,andmotorcomponents. Theimplementedmethodologyhas addressed several challenges in the field of 3D scanning, particularlyintermsofaccuracy,precision,andaffordability. The enhanced 3D scanner demonstrated significant potential for reducing waste, minimizing production errors,and detecting minor defectsinmanufacturing processes.Inthehealthcare sector,it offers a promising solutionfor creating accurate prosthetic replicas, moving away from the one-size-fits-allapproach and towards more personalized solutions. By improving the accessibility and affordability of 3D scanning technology, this study contributes to advancingdigitaltwincreationandvirtualmodelingacross multipleindustries.Theintegrationofcost-effectivecomponents and optimized dataprocessing techniques has resulted inscanners that maintain high accuracy while remaining accessible to smaller organizations and researchers. Although the project has made substantial progress, there are opportunities for further refinement and expansion. Future research could focus on improving scanner performance under varying environmental conditions, integratingmachine learning algorithmsfor enhanceddata processing, andexploringadditional applications infieldssuchascultural heritagepreservationandentertainment. In conclusion, this research has demonstrated the feasibility of creating an accurate, precise, and affordable 3D scanner, paving the way for the wider adoption of 3D modeling technologies across varioussectors.Astechnologycontinuestoevolve,ithasthepotential to revolutionize product design, quality control, and customization processes, ultimately leading to more efficient and innovativeindustries.

References

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Copyright

Copyright © 2025 Mr. Ashish Singh, Shlesh Choudhary, Harsh Gautam, Ayushi , Sakshi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.