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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65321

Automated food delivery in railway compartment

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65321

Volume:

10 |

6 |

Jun 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65321

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Rajlaxmi Konde

Rajlaxmi Konde

Department of electronics and telecommunication

Jspm narhe technical campus

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Sharvari Helge

Sharvari Helge

Department of electronics and telecommunication

Jspm narhe technical campus

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Tanishka Jagtap

Tanishka Jagtap

Department of electronics and telecommunication

Jspm narhe technical campus

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Tanisha Indule

Tanisha Indule

Department of electronics and telecommunication

Jspm narhe technical campus

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Mentors

MP

Manisha Patil

Department of electronics and telecommunication

Jspm narhe technical campus

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Abstract

IoT technologies and embedded systems have made automation feasible in various sectors, including transportation and service industries. The Indian Railways, as one of the world's biggest railway systems, faces a challenge in providing food delivery services that are efficient and accurate while maintaining cleanliness. The standard manual system is time-consuming, human-driven, and does not offer real-time tracking. Using QR codes and wireless communication, this paper describes an autonomous food robot that can deliver food intelligently within railway compartments. Passengers can order meals using a digital interface, thanks to the proposed system that assigns individualized QR codes to every seat. The order is relayed to a cloud database, which the robot accesses via retrieved Wi-Fi modules. By utilizing sensors and pre-set obstacles, the robot can navigate through different terrain types without any assistance. Tracking the delivery of food to ensure accuracy and punctuality. This reduces the need for human intervention, improves hygiene, and reduce[update]. Compared to traditional methods, experimental results reveal greater efficiency and accuracy. Modern catering systems on the railway can be scalable using the proposed model.

KEYWORDS

Internet of Things Embedded Systems Autonomous Robot QR Code Railway Automation Smart Delivery System.

Cite This Article

Rajlaxmi Konde, Sharvari Helge, Tanishka Jagtap, Tanisha Indule, Manisha Patil, "Automated food delivery in railway compartment," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-9, Jun 2026. https://doi.org/10.55041/IJSREM65321

Full Article/Conclusion

This research presents the design and implementation of an automated food delivery system for railway compartments using IoT and embedded systems. The proposed system addresses limitations of manual food delivery methods by introducing automation, accuracy and improved hygiene. The integration of ESP32 microcontroller with sensors, motors and communication modules enables navigation and controlled delivery operations. The use of a track mechanism enhances efficiency by eliminating interference with passenger movement. It ensures operation in confined spaces. Experimental results demonstrate that the system achieves delivery accuracy and reliable performance under simulated conditions. The implementation of sensor-based navigation and obstacle detection ensures precise operation. The IoT-based communication system provides real-time interaction between the user and the robot. The proposed system has potential for real-world application in railway catering services. It can improve passenger satisfaction by providing contactless and reliable food delivery. It reduces dependency on labor and enhances operational efficiency. Future enhancements like integration with intelligence and improved battery systems can further increase effectiveness. The modular design of the proposed system enables enhancements without major hardware modifications. The integration of embedded control, IoT communication and robotic automation demonstrates applicability of modern engineering technologies. The successful implementation of the prototype validates the feasibility of using automated delivery systems in railway environments. It highlights their potential for large-scale deployment. The proposed system is a scalable solution, for modernizing food delivery services in railway environments.

References

Y. Pawse, A. Kholapure, S. K. Nandigama, M. Malkar, and V. Amal, “Automation of Food Delivery Service in Railways,” International Journal of Intelligent Machines and Robotics (IJIMR), vol. 1, no. 4, pp. 337–360, 2024. R. Gupta and D. Reddy, “Overhead Robotic Systems for Confined Automation,” International Journal of Mechatronics and Automation, vol. 11, no. 3, pp. 214–225, 2022. N. S. Patil et al., “Railway Food Delivery System,” Zenodo, Apr. 2023. M. Malkar, S. K. Nandigama, A. Kholapure, and V. Amal, “IoT-Based Food Service Automation in Trains,” ResearchGate Preprint, Jun. 2023. P. Kumar and V. Rao, “Smart Tray Delivery Mechanism Using Embedded Control,” IEEE Access, vol. 10, pp. 12456–12463, 2021. S. Li and A. Mehta, “Ultrasonic and Infrared Sensor Fusion for Precise Positioning in Robotic Systems,” IEEE Sensors Journal, vol. 23, no. 7, pp. 8429–8438, 2023. J. Zhang, H. Tan, and K. Lee, “Autonomous Service Robots for Contactless Delivery in Public Transport,” International Journal of Automation and Smart Systems, vol. 15, no. 2, pp. 112–124, 2023. R. Patel and S. Singh, “IoT Integration in Embedded Systems for Intelligent Control Applications,” International Journal of Computer Applications, vol. 179, no. 39, pp. 1–8, 2022. A. Shankar, T. Verma, and N. Choudhary, “AI-Based Vibration Control for Moving Robotic Platforms,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 2, pp. 998–1009, 2025.

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Publication Date

6/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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