Advanced Footstep Power Generation System Using RFID for Charging

Abstract

Along with the nation\'s growing population, there is a growing need for power in many different ways. Therefore, the main way to meet future demands is to reorganize this energy so that it can be utilized again. Power is produced by human footsteps in this project for the generation of footstep power, so as well as to store the electricity produced by piezo sensors to charge the battery. utilizing an RFID card, mobile phones are charged utilizing the battery\'s stored power. The ESP32 microcontroller powers this project, which also have an LCD, RFID sensor, USB cable, and Arduino IDE. The system switches to registration mode when the power is turned on. Three people can sign up. The system prompts users to connect the charger and swipe their cards after they have all logged in. The user is initially charged for five minutes by default. As soon as the card is swiped and When the user gives permission, the system starts charging the phone within a predetermined window of time.

Introduction

Due to concerns over climate change and energy depletion, sustainable energy alternatives like footstep power generation have gained attention. This method converts mechanical energy from human footsteps into electrical energy using piezoelectric sensors. It offers a clean, fuel-free power source usable without external infrastructure. However, challenges remain in efficient energy storage and usage.

Integrating RFID technology—a low-power, wireless communication method widely used for identification—with footstep power systems enables smart, wireless charging of devices. This combination allows stored footstep energy to be transferred wirelessly to RFID-enabled electronics, enhancing usability in public spaces, smart cities, and wearable tech.

The proposed system uses piezo sensors to capture footstep energy, converting it via rectification and voltage regulation, then storing it in a rechargeable battery. An RFID reader wirelessly transfers this stored energy to devices when in range. A microcontroller manages energy flow and displays battery status on an LCD.

Tests show the system effectively charges low-power devices like mobile phones, although power output depends on footstep frequency and intensity. The system offers a promising, eco-friendly solution for sustainable energy harvesting, with potential expansions for higher capacity and smart grid integration.

Conclusion

Especially for remote locations with little to no access to electricity, this proposal provides a sensible, conservative solution to energy needs. India\'s enormous population makes energy management essential to its development. This technique drastically reduces energy use while limiting environmental impact by using of piezoelectric sensor to create both alternating current (AC) and direct current (DC) power. In areas with a high population density, this technique guarantees effective power generation without adding to pollution. Only 11% of energy currently originates from renewable sources, but this project might greatly raise that number, solving both regional energy issues and environmental issues on a worldwide scale. We can significantly improve the environment and energy sustainability by putting this concept into practice.

References

[1] Nilesh Sawant et al., “Advanced Footstep Power Generation Using Piezoelectric Sensor,” Int. Adv. Res. J. Sci. Eng. Technol., June 2023. [2] Shreya Yadav, Sakshi Dahotre, “Advanced Footstep Power Generation with RFID for Charging,” JETIR, May 2023. [3] Regatte Sahithi Reddy et al., “Footstep Power Generation with RFID for Charging,” IJCRT, June 2022. [4] Priyanka Naresh Chandra Dayal, A. S. Bhide, “Footstep Power Generation Using RFID,” IJRASET, Dec. 2021. [5] Zhang et al., “Energy Harvesting from Footsteps,” Renewable Energy, Feb. 2023. [6] Gupta, P., “Piezoelectric Energy Harvesting for IoT Devices,” Energy Reports, Jan. 2023. [7] Rao, K., “Advances in Triboelectric Nanogenerators,” Nanotechnology, Mar. 2022. [8] Kumar, A., et al., “Energy Harvesting from Human Motion,” IEEE Trans. on Power Electronics, July 2022. [9] Patel, R., “Sustainable Footstep Energy Systems,” Journal of Clean Energy Technologies, Oct. 2021. [10] Lee, S., et al., “RFID-Powered Footstep Energy Harvesting,” Energy Harvesting and Systems, Aug. 2021

Copyright

Copyright © 2025 Mrs. Lokeshwari H S, Mr. Shubas S R, Rachana K N, Poorvika R, Sanju G P. 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.