Smart Luggage for Physically Challenged People

Abstract

This paper discusses the improvement of an intelligent luggage gadget designed to assist bodily challenged humans. with the aid of integrating superior technology, this system is dependent around an ESP32 microcontroller and an ESP32-CAM module that permits the luggage to autonomously track and follow a person the use of an ArUco marker held with the aid of them. Such arms-unfastened movement facilitates for mobility, particularly helping folks that may have bodily barriers. The luggage is also outfitted with a load mobile and an HX711 module, via which the luggage\'s weight is measured exactly, that\'s then shown in real time for consumer convenience. The system is designed to hold up to five kilograms, making it sensible and sturdy. This clever baggage with included imaginative and prescient-primarily based tracking, unique weight measurement, and ok load capability enhances person independence whilst minimizing physical attempt at some point of journey. This system would display super ability as a pioneering assistive generation that could upgrade the travel enjoy of those with special wishes.

Introduction

Smart Luggage System for Physically Challenged Individuals

This paper introduces an innovative smart luggage system designed to assist individuals with physical disabilities by enhancing their mobility and independence during travel. The system integrates autonomous user-following capabilities and real-time weight measurement, utilizing cost-effective technologies to provide a practical solution for users with mobility challenges.

Key Features:

• Autonomous User Following: The luggage employs an ESP32-CAM module to track an ArUco marker worn by the user, enabling the bag to follow them hands-free. This feature reduces the physical effort required to maneuver luggage, particularly beneficial in crowded or complex environments.

• Weight Measurement: Equipped with a load cell and HX711 amplifier, the system accurately measures the weight of the luggage, displaying real-time data on an onboard LCD screen. This functionality helps users monitor and manage the weight they are carrying, preventing overloading.

• Design Specifications: The smart luggage is designed to carry up to 5 kilograms, balancing robustness and practicality. It incorporates an Arduino Uno for processing sensor data and controlling motor drivers that facilitate movement based on user proximity.

Methodology:

The system's operation begins with the initialization of the Arduino and ESP32 modules. The ESP32-CAM captures video frames to detect the ArUco marker, while the load cell measures the luggage's weight. Based on the distance between the user and the luggage, motor drivers adjust the movement to maintain a comfortable following distance. If the weight exceeds a preset threshold, an alert is triggered to notify the user.

Results:

The smart luggage system has demonstrated effective performance in real-world scenarios. It successfully tracks the user, maintains an appropriate distance, and provides accurate weight measurements. The system's power efficiency allows for extended use without frequent recharging, making it suitable for long journeys or daily activities.

Discussion:

While the current system offers significant benefits, there are areas for improvement. Enhancing the tracking algorithm to function reliably in low-light or obstructed environments could increase robustness. Additionally, expanding the weight capacity beyond 5 kilograms and optimizing battery life would further enhance the system's utility. Future developments may include features like automatic charging and smartphone integration for remote control.

Conclusion

This clever luggage system for physically challenged individuals integrates superior technology, such as laptop vision, load dimension, and embedded structures, to enhance mobility and independence. using the ESP32 and digital camera to track an ArUco marker, the gadget allows the luggage to autonomously follow the consumer, ensuring ease of movement. The incorporation of a load cellular affords accurate measurements for weight, as a result customers can be able to recognize how a great deal load is being carried with the system that contains up to 5kg. It indicates giant opportunities inside the improvement of everyday life of mobility challenged individuals by way of providing them more manage over their assets.There are areas that would be progressed in addition, like monitoring robustness, load potential, and strength efficiency. nevertheless, this mission will set the degree for the creation of more complex assistive technology. enhancements to be achieved inside the future will goal user enjoy, functionality growth, and extended reliability in widespread, in the long run making the machine a useful and treasured device for the bodily challenged.

References

[1] S. Karthick, J. Joel, S. Balaji, and T. Anish. Smart luggage tracking and alert system using arduino. International Research Journal of Modernization in Engineering Technology and Science, 2(05), 2020. [2] Z. Marihi, A. Saih, I. Fakir, and Y. Salih-Alj. Smart suitcase for visually challenged individuals in airport environments using uwb and lidar fusion slam: Morocco case study. In 2024 10th International Conference on Mechatronics and Robotics Engineering (ICMRE), pages 311–316. IEEE, 2024. [3] D. Peralta, M. Ramos, and N. A. Arriola. Person following robotic suitcase. In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), pages 452–455. IEEE, 2018. [4] O. B. Samin, H. Sohail, M. Omar, and H. Hummam. Accelerometer and magnetometer enabled entity following automated suitcase. In 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), pages 1–5. IEEE, 2020. [5] C.-S. Yang, B.-H. Zhang, H.-W. Wei, and W.-T. Lee. The design of smart suitcase. In 2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), pages 1–2. IEEE, 2019. [6] L. Yu and W. Bulai. Intelligent following suitcase based on single chip control. In 2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), pages 267–271. IEEE, 2019.

Copyright

Copyright © 2025 Dr. Rashmi R Deshpande, Sandeep Udbal, Tarun A, Rohith A, Syed Sahil Asif. 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.