Design and Implementation of smart Grocery Packaging System

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 16 | 01 | Page :
    By

    Dr. Sidhant Sanjay Kulkarni,

  • Snehal Arjun Avhad,

  • Pankaj Sanjay Nirgude,

  • Hrushikesh Ravindra Patole,

  • Aditya Prakash Wani,

  1. Assistant Professor, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  2. Undergraduate Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  3. Undergraduate Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  4. Undergraduate Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  5. Undergraduate Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India

Abstract

The increasing demand for speed, accuracy, and cost efficiency in retail operations has accelerated the adoption of automation technologies in grocery packaging systems. Traditional grocery packaging methods rely heavily on manual labor, which often leads to errors in quantity measurement, inconsistent packaging quality, increased labor costs, and slower processing times. To address these challenges, this work presents the design and implementation of a smart automated grocery packaging system aimed specifically at small and medium-scale retail establishments.

The proposed system integrates an Arduino-based microcontroller with infrared (IR) sensors, servo motors, and a user-friendly interface consisting of a keypad and LCD display. The system automatically detects the presence of grocery items, controls the dispensing mechanism, and performs accurate packaging operations based on user-defined parameters such as weight or cost. Real-time sensor feedback enables closed-loop control of the dispensing process, ensuring precise and consistent packaging with minimal human intervention.

Experimental validation was carried out using common grocery items such as rice, sugar, wheat, and groundnuts. The prototype demonstrated a dispensing accuracy within ±2%, significantly outperforming manual packaging methods that typically show variations of ±5–10%. Additionally, the average packaging cycle time was reduced from 10–15 seconds in manual operations to approximately 3.5 seconds using the proposed system. The system also exhibited reliable performance across repeated trials and varying material densities.

The modular and scalable design allows the system to be adapted for different packaging capacities and retail requirements. The results indicate that the proposed automated grocery packaging system offers a cost-effective, reliable, and efficient solution for modernizing small-scale retail packaging operations, while improving productivity, reducing labor dependency, and minimizing packaging errors.

Keywords: Automation, Smart Grocery Packaging, Arduino Microcontroller, IR Sensors, Retail Automation, Error Reduction.

How to cite this article:
Dr. Sidhant Sanjay Kulkarni, Snehal Arjun Avhad, Pankaj Sanjay Nirgude, Hrushikesh Ravindra Patole, Aditya Prakash Wani. Design and Implementation of smart Grocery Packaging System. Trends in Mechanical Engineering & Technology. 2026; 16(01):-.
How to cite this URL:
Dr. Sidhant Sanjay Kulkarni, Snehal Arjun Avhad, Pankaj Sanjay Nirgude, Hrushikesh Ravindra Patole, Aditya Prakash Wani. Design and Implementation of smart Grocery Packaging System. Trends in Mechanical Engineering & Technology. 2026; 16(01):-. Available from: https://journals.stmjournals.com/tmet/article=2026/view=238580


References

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Ahead of Print Subscription Original Research
Volume 16
01
Received 24/01/2026
Accepted 29/01/2026
Published 10/02/2026
Publication Time 17 Days
50

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