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1714526 Vol 9 · Issue 8 Download Paper

AI Enabled Smart Modular Cutting System with Intelligent Control for Vegetables

J. Karthikeyan R. Hariharan S. Sakthi Deva A. Muzamil

Subject area: Science,Engineering and Technology  ·  Area of research: Embedded Systems, Food Processing Automation

DOI: https://doi.org/10.64388/IREV9I8-1714526

Abstract

The AI-enabled smart modular cutting system provides an automated and safe solution for vegetable cutting. Unlike manual cutting, which takes more time and effort and may cause uneven sizes or safety risks, this system ensures consistent and efficient results. It uses an STM32 microcontroller connected to a mobile app for wireless control. AI-based methods identify the vegetable, and the required cutting size is selected through a smartphone. Based on the input, the system performs slicing, chopping, or dicing automatically. The modular blade design offers flexibility, improves hygiene, reduces human contact, and enhances safety for homes and small food units.

Keywords

Smart modular cutting, Wireless control, STM32 microcontroller, Modular blade structure, small food processing units.

References

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[2] Y. Liang and G. Gao, "Design and Analysis of Automatic Vegetable Harvesting Machine," 2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), Shanghai, China, 2019, pp. 287-290, doi: 10.1109/WCMEIM48965.2019.00062.

[3] S. Yu-qiu, X. Ming-jin, D. Hong-yu, Z. Xiu-fang and H. Yan-qing, "Process control system for scion and rootstock feeding of vegetable grafting machine," Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, Harbin, China, 2011, pp. 3509-3512, doi: 10.1109/EMEIT.2011.6023781.

[4] B. V. Ramnath, S. Krishnaraj, R. S. Kumar, B. Jeyasurya, A. M. Jasar and N. Prasanna, "Automation of Vegetable Cutting Machine," 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India, 2024, pp. 1-5, doi: 10.1109/ICPECTS62210.2024.10780416.

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[6] S. Singhal, D. Mangal, R. Kumar, B. Sharma and I. B. Dhaou, "Smart vegetable cutter for Smart Home," 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC), Jeddah, Saudi Arabia, 2023, pp.1-6,doi: 10.1109/ICAISC56366.2023.10085675.

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[10] Aji I. S., Vakaa J. K., Madu M. J., Suleiman Z. B. and Yakda S. B. 2018. Development of A Small Scale Okro Slicing Machine. Arid Zone Journal of Engineering, Technology and Environment. 14(1): 54-60.

How to cite this paper

J. Karthikeyan, R. Hariharan, S. Sakthi Deva, A. Muzamil "AI Enabled Smart Modular Cutting System with Intelligent Control for Vegetables" Iconic Research And Engineering Journals Volume 9 Issue 8 2026 Page 1720-1725 https://doi.org/10.64388/IREV9I8-1714526
J. Karthikeyan, R. Hariharan, S. Sakthi Deva, A. Muzamil "AI Enabled Smart Modular Cutting System with Intelligent Control for Vegetables" Iconic Research And Engineering Journals, vol. 9, no. 8, Feb. 2026, doi: https://doi.org/10.64388/IREV9I8-1714526
J. Karthikeyan, R. Hariharan, S. Sakthi Deva, A. Muzamil (2026). AI Enabled Smart Modular Cutting System with Intelligent Control for Vegetables. Iconic Research And Engineering Journals, 9(8). doi: https://doi.org/10.64388/IREV9I8-1714526
J. Karthikeyan, R. Hariharan, S. Sakthi Deva, A. Muzamil "AI Enabled Smart Modular Cutting System with Intelligent Control for Vegetables" Iconic Research And Engineering Journals, vol. 9, no. 8, Feb. 2026. Crossref, https://doi.org/10.64388/IREV9I8-1714526
@article{1714526,
      author = {J. Karthikeyan, R. Hariharan, S. Sakthi Deva, A. Muzamil},
      title = {AI Enabled Smart Modular Cutting System with Intelligent Control for Vegetables},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {1720-1725},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714526.pdf},
      abstract = {The AI-enabled smart modular cutting system provides an automated and safe solution for vegetable cutting. Unlike manual cutting, which takes more time and effort and may cause uneven sizes or safety risks, this system ensures consistent and efficient results. It uses an STM32 microcontroller connected to a mobile app for wireless control. AI-based methods identify the vegetable, and the required cutting size is selected through a smartphone. Based on the input, the system performs slicing, chopping, or dicing automatically. The modular blade design offers flexibility, improves hygiene, reduces human contact, and enhances safety for homes and small food units.},
      keywords = {Smart modular cutting, Wireless control, STM32 microcontroller, Modular blade structure, small food processing units.},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714526}
  }