Review Paper on Self-Parking Chair

Abstract

The Self-Parking Chair is an innovative automation system designed to improve convenience and space management in indoor environments such as offices, conference rooms, and smart homes. This project focuses on developing a chair that can automatically navigate and park itself in a designated location without human assistance. The system uses a combination of sensors, a microcontroller (such as Arduino), and image processing techniques like OpenCV to detect a predefined coloured tag or marker placed at the parking area. A camera mounted on the chair continuously captures real-time images, which are processed to identify the target location based on colour detection. The system then calculates the direction and distance required to reach the parking spot. Motor drivers control the movement of the chair, enabling it to avoid obstacles and adjust its path dynamically. Ultrasonic or infrared sensors are also used to enhance obstacle detection and ensure safe navigation.

Introduction

The text describes a Self-Parking Chair system, an automation-based smart furniture concept designed to autonomously move and park itself in predefined locations. It aims to reduce manual effort in arranging chairs in environments like offices, classrooms, libraries, and auditoriums while improving space management, safety, and convenience.

The system combines robotics, embedded systems (Arduino/microcontrollers), sensors, motors, and computer vision (OpenCV). A camera detects a colored marker indicating the parking spot, while ultrasonic or infrared sensors help avoid obstacles. Based on this input, the chair navigates and parks itself automatically.

Key advantages include improved efficiency, reduced physical effort, better space organization, energy-efficient operation, and enhanced safety by minimizing risks of moving heavy furniture. The system is also designed to be user-friendly, with control options like buttons, remotes, or mobile apps, and has potential for future expansion into IoT-enabled smart furniture.

The literature review shows that self-parking chair systems have evolved from simple sensor-based designs to more advanced solutions using computer vision, IoT integration, and sensor fusion for better accuracy and adaptability.

Conclusion

The self-parking chair project successfully demonstrates the application of automation, robotics, and computer vision in creating an intelligent system capable of navigating and parking without human assistance. By integrating components such as a microcontroller, sensors, motors, and a camera with OpenCV, the system achieves autonomous movement and accurate positioning. The project highlights how everyday objects can be enhanced with smart features to improve convenience and efficiency. Despite achieving the desired functionality, there is significant scope for improvement. The system can be enhanced by improving image processing techniques to perform reliably under different lighting conditions and complex environments. The addition of advanced sensors and faster processors can further increase accuracy, response time, and overall performance of the chair.

References

[1] V. Dhande, N. Bhot, R. Gongate, A. Chandgude, P. S. Patil and D. D. Patil, “Smart Self-Parking Chair,” International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 6, June 2020. [2] A. Kumar and J. A. Lakra, “Edge-Enabled Smart Chairs with Obstacle Avoidance and MQTT Coordination in IoT Environments,” International Journal on Science and Technology (IJSAT). [3] S. A. Shaikh, M. H. Pankawade, S. L. Shaikh, P. P. Giri, S. S. R. Ramteke, M. H. Dhone and N. B. Wagh, “Concept and Implementation of Self Parking Chair,” International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), vol. 4, no. 4, 2018. [4] M. Bhagat, C. Khedkar, K. Chakole, H. Choudhari and S. Mungale,“Arduino Based Self-Parking Chair,” International Journal of Scientific Research in Science and Technology (IJSRST), vol. 9, no. 3, pp. 137–139, May–June 2022. [5] S. Y. Upadhye, R. S. Chudappa, S. S. Chavan, R. R. Khanderajure and S. N. Patil, “Intelligent Self-Parking Chair,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), vol. 8, no. 5, May 2020.

Copyright

Copyright © 2026 Aditi V. Suroshe , Rohan P. Nit, Parth S. Deulkar, Gagan A. Vallapwar, Pranoti R. Rahane, Sanjana S. Shinde, Akanksha S. Sayam, U. W. Kaware. 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.