Authors :
Ketan S. Pawar; Rohan K. Sutar; Aniket S. Kalkumbe; Ishwar M. Telange
Volume/Issue :
Volume 11 - 2026, Issue 2 - February
Google Scholar :
https://tinyurl.com/3atmz28p
Scribd :
https://tinyurl.com/ycbzuy5s
DOI :
https://doi.org/10.38124/ijisrt/26feb1337
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
"This paper presents the design and development of an affordable, lightweight mini quadcopter using the ESP32
microcontroller. The primary objective is to create a cost-effective flight control system that integrates real-time surveillance
capabilities. The system utilizes an ESP32-WROOM-32 for flight dynamics management and an ESP32-CAM module for
live video streaming via an HTTP web server. A customized PID (Proportional-Integral-Derivative) algorithm is
implemented to ensure flight stability and precise maneuverability. Experimental results demonstrate that the drone
maintains stable hover and provides a low-latency video feed, making it suitable for indoor monitoring and educational
purposes. The final prototype weighs less than 250g, adhering to micro-UAV regulations."
Keywords :
ESP32, ESP32-CAM, Flight Controller, PID Algoritham, Surveillance Drone, Quadcopter, IOT.
References :
- Espressif Systems, "ESP32 Series Datasheet," v3.9, 2023. [Online]. Available: https://www.espressif.com.
- InvenSense, "MPU-6050 Product Specification Revision 3.4," 2013.
- A. M. Rahat and N. I. Mondal, "Development of a Low- Cost Surveillance Drone using ESP32-CAM," International Journal of Robotics and Automation, vol. 9, no. 2, pp. 45-51, 2021.
- J. Smith and R. Patel, "Implementation of PID Control Algorithm for Quadcopter Stability," IEEE Explore, 2019.
- Arduino, "ESP32-CAM Video Streaming Server Tutorial," [Online]. Available: https://docs.arduino.cc.
"This paper presents the design and development of an affordable, lightweight mini quadcopter using the ESP32
microcontroller. The primary objective is to create a cost-effective flight control system that integrates real-time surveillance
capabilities. The system utilizes an ESP32-WROOM-32 for flight dynamics management and an ESP32-CAM module for
live video streaming via an HTTP web server. A customized PID (Proportional-Integral-Derivative) algorithm is
implemented to ensure flight stability and precise maneuverability. Experimental results demonstrate that the drone
maintains stable hover and provides a low-latency video feed, making it suitable for indoor monitoring and educational
purposes. The final prototype weighs less than 250g, adhering to micro-UAV regulations."
Keywords :
ESP32, ESP32-CAM, Flight Controller, PID Algoritham, Surveillance Drone, Quadcopter, IOT.