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Designing A Drone for Surveillance and Mapping
Subject area: Science,Engineering and Technology · Area of research: Embeded Systems
Abstract
This project showcases the creation and setup of a budget-friendly, Arduino-powered drone system for watching and mapping. The drone has two main parts: a joystick-run sender unit and a quadcopter receiver, which talk to each other using NRF24L01 wireless devices. The system uses an MPU6050 IMU sensor to keep the flight steady and has coreless motors driven by PWM signals to move. A First Person View (FPV) camera setup gives real-time feedback, making it easier for users to fly. The sender, built with an Arduino Nano, LCD, and joystick parts, sends direction orders. The drone, run by an Arduino Pro Mini, handles these orders along with IMU data using PID control math to fly. The system's design focuses on being cheap, easy to expand, and good for learning, making it perfect for students and hobbyists who want to get hands-on experience with embedded systems, robotics, and wireless talking. This project shows that you can build working drones with open-source parts and sets the stage for more improvements, like self-flying, adding GPS, or mapping environmental data.
Keywords
UAV, Arduino drone, wireless control, PID stabilization, FPV mapping, NRF24L01, coreless motor, IMU integration.
References
[1] Sharma, A., & Kumar, R. (2018). Design and Development of an Arduino-Based Quadcopter for Educational Purposes. International Journal of Engineering Research and Applications, 8(3), 45–50.
[2] Rao, V., & Singh, P. (2019). Wireless Communication in Drones Using NRF24L01 Transceivers. International Journal of Embedded Systems and Applications, 7(2), 22– 29.
[3] Patel, S., & Verma, N. (2020). Stabilization of Drones Using MPU6050 and PID Controller. Journal of Control Systems and Robotics, 5(1), 11–19.
[4] Ali, H., & Deshmukh, P. (2021). FPV Integration in Quadcopters for Enhanced Navigation. International Conference on Robotics and Automation Technologies, 62–68.
[5] Mohan, A., Reddy, B., & Prasad, K. (2022). Design of a Modular Drone Architecture for Research Applications. Journal of Applied Embedded Systems, 4(4), 91–98.
[6] Tanveer, M., & Singh, R. (2017). Quadcopter Flight Stabilization using PID Controller and IMU Sensor. International Journal of Electrical and Electronics Research, 5(2), 75–80.
[7] Kurs, A., Karalis, A., Moffatt, R., Joannopoulos, J. D., Fisher, P., & Soljačić, M. (2007). Wireless Power Transfer via Strongly Coupled Magnetic Resonances. Science, 317(5834), 83–86
[8] Sample, A. P., Meyer, D. T., & Smith, J. R. (2011). Analysis, Experimental Results, and Range Adaptation of Magnetically Coupled Resonators for Wireless Power Transfer. IEEE Transactions on Industrial Electronics, 58(2), 544–554.
How to cite this paper
@article{1708885,
author = {Chinmai, Thanmai, Ravi Teja, Dr. S. P. V Subba Rao},
title = {Designing A Drone for Surveillance and Mapping},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {12},
pages = {1419-1428},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708885.pdf},
abstract = {This project showcases the creation and setup of a budget-friendly, Arduino-powered drone system for watching and mapping. The drone has two main parts: a joystick-run sender unit and a quadcopter receiver, which talk to each other using NRF24L01 wireless devices. The system uses an MPU6050 IMU sensor to keep the flight steady and has coreless motors driven by PWM signals to move. A First Person View (FPV) camera setup gives real-time feedback, making it easier for users to fly. The sender, built with an Arduino Nano, LCD, and joystick parts, sends direction orders. The drone, run by an Arduino Pro Mini, handles these orders along with IMU data using PID control math to fly. The system's design focuses on being cheap, easy to expand, and good for learning, making it perfect for students and hobbyists who want to get hands-on experience with embedded systems, robotics, and wireless talking. This project shows that you can build working drones with open-source parts and sets the stage for more improvements, like self-flying, adding GPS, or mapping environmental data.},
keywords = {UAV, Arduino drone, wireless control, PID stabilization, FPV mapping, NRF24L01, coreless motor, IMU integration.},
month = {June},
}