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Arduino Controlled 3D Object Scanner and Image Classification

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Machine Intelligence for Research and Innovations (MAiTRI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 832))

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Abstract

A three-dimensional (3D) object scanner is a device that captures and creates a digital 3D representation of a physical object. With the growing demand for faster development of 3D models, there is a need for increased production rates. As a result, it is essential for this technology to be cost-effective and easily accessible to consumers. This can be achieved by making use of affordable components and ensuring that the necessary resources are readily available. To overcome this main issue, it is proposed to build a low-cost standalone 3D scanning system that uses information from a Sharp IR sensor and web camera to generate digitized 3D models. These models may subsequently be utilized in digital animation or 3D printing for a range of purposes such as toys, prosthetics, antiquities, and so on. Another focus of this 3D scanner is to classify an object and present its information by using an image processing approach. Additionally, two-dimensional (2D) images to 3D mesh conversion are carried out algorithmically to provide information about scanned objects to newcomers in the field of electronics. Experimental analysis is performed for identifying the capacitor through the integration of a 3D scanner controlled by Arduino. The collected data was then uploaded to a computer for additional MATLAB built-in functions and external libraries, aiming to achieve reliable identification results.

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Author information

Authors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India

    Amoli Belsare, Sahishnu Wankhede, Ganesh Dake, Vedang Kali & Vishal Chawde

  2. Technology Innovation Institute (TII), Abu Dhabi, UAE

    Nitin Satpute

Authors
  1. Amoli Belsare
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  2. Sahishnu Wankhede
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  3. Nitin Satpute
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  4. Ganesh Dake
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  5. Vedang Kali
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  6. Vishal Chawde
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Corresponding author

Correspondence to Amoli Belsare .

Editor information

Editors and Affiliations

  1. Dept of Instrumentation and Control Engg, Dr. B. R. Ambedkar National Institute of, Jalandhar, Punjab, India

    Om Prakash Verma

  2. School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Department of Electrical Engineering, Malaviya National Institute of Technolog, Jaipur, Rajasthan, India

    Rajesh Kumar

  4. Department of Mathematics, DR BR Ambedkar NIT Jalandhar, Jalandhar, Punjab, India

    Anupam Yadav

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Belsare, A., Wankhede, S., Satpute, N., Dake, G., Kali, V., Chawde, V. (2024). Arduino Controlled 3D Object Scanner and Image Classification. In: Verma, O.P., Wang, L., Kumar, R., Yadav, A. (eds) Machine Intelligence for Research and Innovations. MAiTRI 2023. Lecture Notes in Networks and Systems, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-99-8129-8_16

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