Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64616
Volume:
10 |
6 |
Jun 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
ELECTRONICS AND TELECOMMUNICATION
JSPM NARHE TECHNICAL CAMPUS
ELECTRONICS AND TELECOMMUNICATION
JSPM NARHE TECHNICAL CAMPUS
ELECTRONICS AND TELECOMMUNICATION
JSPM NARHE TECHNICAL CAMPUS
ELECTRONICS AND TELECOMMUNICATION
JSPM NARHE TECHNICAL CAMPUS
ELECTRONICS AND TELECOMMUNICATION
JSPM NARHE TECHNICAL CAMPUS
Modern surveillance systems require mobility, flexibility, and real-time remote accessibility to address the limitations of traditional fixed-camera monitoring infrastructure. Conventional CCTV-based systems are constrained by fixed viewing angles, expensive installation requirements, and limited operational coverage in dynamic environments. This research presents the design, implementation, and evaluation of a FlutterControlled Surveillance Robocar Using ESP32-CAM, developed as a low-cost Internet of Things (IoT) enabled mobile monitoring platform for real-time surveillance applications. The proposed system integrates an ESP32-CAM microcontroller, L298N motor driver, omnidirectional 4WD Mecanum wheel chassis, and a crossplatform Flutter mobile application to achieve wireless remote navigation and live video streaming. The ESP32-CAM module simultaneously handles MJPEG-based video transmission, Wi-Fi communication, and motor control through HTTP-based command handling. The Flutter application provides an intuitive graphical interface featuring directional movement controls, real-time video monitoring, speed adjustment, pan/tilt functionality, and wireless connectivity management. Experimental evaluation demonstrated stable MJPEG streaming at 30 fps with 640×480 resolution, command response latency below one second, and reliable wireless operation within a 30-meter indoor range. The omnidirectional Mecanum wheel drive mechanism significantly improved maneuverability relative to conventional differential-drive robotic systems. The proposed surveillance robocar offers a scalable and modular architecture suitable for educational institutions, industrial monitoring, warehouse surveillance, smart security infrastructure, and future AIassisted autonomous monitoring applications. The developed platform demonstrates an efficient combination of embedded systems, mobile application development, wireless networking, and robotic mobility within a publication-ready IoT surveillance framework.
KEYWORDS
This paper presented the design and implementation of a Flutter-Controlled Surveillance Robocar Using ESP32-CAM as a low-cost IoT-enabled mobile monitoring platform for real-time surveillance applications. The developed system successfully integrated wireless MJPEG video streaming, omnidirectional robotic navigation, cross-platform Flutter-based mobile control, and embedded ESP32-CAM processing within a unified surveillance architecture. Experimental evaluation confirmed stable 30 fps video streaming, reliable wireless communication within 30 meters, and sub-second robotic command latency. The integration of Mecanum wheel technology significantly enhanced robotic maneuverability and navigation efficiency. The proposed architecture provides a scalable and extensible foundation for future cloud-integrated, AIassisted, and autonomous surveillance applications. The overall system demonstrates a practical combination of embedded systems engineering, wireless networking, mobile application development, and robotic mobility suitable for research, educational, and industrial surveillance deployment.
[1] C. Vijaya Bhaskar, G. Amarnath, K. Anitha, C. Dedeepya, A. Dinesh, and P. Ganesh, "Wi-Fi Controlled Surveillance Car Using ESP-32 Cam-Module," Journal of Emerging Technologies and Innovative Research (JETIR), vol. 11, no. 4, pp. i711–i717, Apr. 2024. [2] K. Reddy and P. Nair, “IoT Based Smart Surveillance Car Using ESP32-CAM,” International Journal of Engineering Research & Technology (IJERT), 2020. [3] A. Khan, S. Gupta, and V. Meena, “Android Controlled Spy Robot Using Wi-Fi,” IEEE International Conference on Communication and Signal Processing (ICCSP), pp. 542–547, 2021. [4] M. D. Joshi and P. K. Singh, “ESP32 Based IoT Surveillance Robot with Real-Time Video Transmission,” International Journal of Computer Applications (IJCA), vol. 184, no. 10, pp. 33–39, 2021. [5] N. Banerjee, R. Saha, and A. Thomas, “Flutter-Based IoT Vehicle Control System,” Journal of Emerging Technologies and Innovative Research (JETIR), vol. 9, no. 7, pp. 1182–1190, 2022. [6] V. Kumar and T. Das, “Wireless Surveillance Robot Using ESP32 and Flutter App Interface,” International Journal of Advanced Research in Computer Science (IJARCS), vol. 13, no. 2, pp. 77–83, 2023. [7] P. Choudhary and A. Mishra, “Design and Implementation of a Mobile-Controlled Surveillance Vehicle Using IoT,” IEEE Access, vol. 12, pp. 116543–116552, 2024. [8] S. Das and T. Roy, “Cloud-Integrated Smart Surveillance Car Using ESP32-CAM and Flutter,” International Journal of Science and Research (IJSR), vol. 13, no. 3, pp. 141–148, 2024.
Publication Date
6/8/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
6
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...