ESP32-CAM Camera Integration and Android Control for Portable Real-Time Surveillance Solution

Zulhipni Reno Saputra Elsi(1*),Dedi Haryanto(2),Muhammad Ihsan(3)
(1) Universitas Muhammadiyah Palembang
(2) Universitas Muhammadiyah Palembang
(3) Universitas Muhammadiyah Palembang
(*) Corresponding Author
DOI : 10.35889/progresif.v21i2.2700

Abstract

The development of Internet of Things (IoT) technology has encouraged the creation of a more flexible and efficient intelligent surveillance system. This research aims to design and implement an ESP32-CAM-based surveillance car prototype capable of real-time visual monitoring via Wi-Fi connection. The system integrates an ESP32-CAM microcontroller, an L298N motor driver, and four DC motors, and is controlled through a specially developed Android application to set the direction of motion and receive live video displays from the camera. Test results show that the system has stable connectivity performance with an average delay of 0.88 seconds, motor control response of 0.48 seconds, and good quality video streaming with an average delay of 1.09 seconds. The effective operational range was recorded up to 30 meters with acceptable connection quality. The system shows potential as a cost-effective, portable, and easily accessible surveillance solution for applications in hard-to-reach or high-risk areas. This research opens up further development opportunities with the integration of artificial intelligence, additional sensors, as well as expansion of the communication range.

Keywords: IoT; ESP32-CAM; Real-Time Surveillance; Surveillance RC Car; Video Streaming

 

Abstrak

Perkembangan teknologi Internet of Things (IoT) telah mendorong terciptanya sistem pengawasan cerdas yang lebih fleksibel dan efisien. Penelitian ini bertujuan untuk merancang dan mengimplementasikan prototipe mobil pengawasan berbasis ESP32-CAM yang mampu melakukan pemantauan visual secara real-time melalui koneksi Wi-Fi. Sistem ini mengintegrasikan mikrokontroler ESP32-CAM, driver motor L298N, dan empat motor DC, serta dikendalikan melalui aplikasi Android yang dikembangkan khusus untuk mengatur arah gerak dan menerima tampilan video langsung dari kamera. Hasil pengujian menunjukkan bahwa sistem memiliki performa konektivitas yang stabil dengan rata-rata delay 0,88 detik, respons kendali motor sebesar 0,48 detik, dan streaming video berkualitas baik dengan delay rata-rata 1,09 detik. Jangkauan operasional efektif tercatat hingga 30 Meter dengan kualitas koneksi yang masih dapat diterima. Sistem ini menunjukkan potensi sebagai solusi pengawasan yang hemat biaya, portabel, dan mudah diakses untuk aplikasi di area yang sulit dijangkau atau berisiko tinggi. Penelitian ini membuka peluang pengembangan lebih lanjut dengan integrasi kecerdasan buatan, sensor tambahan, serta perluasan jangkauan komunikasi.

Kata kunci: IoT; ESP32-CAM; Pengawasan Real-Time; Mobil RC Pengintai; Streaming Video 

References


M. A. Sufiyan, P. K. M, S. P. Sarma, and D. S. B. Choubey, “Vehicle Surveillance System using ESP32,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 9, no. 6, pp. 3722–3725, 2021, [Online]. Available: https://www.ijraset.com/fileserve.php?FID=35763.

R. Vijeikis, V. Raudonis, and G. Dervinis, “Efficient Violence Detection in Surveillance,” Sensors, vol. 22, no. 6, p. 2216, 2022, doi: https://doi.org/10.3390/s22062216.

P. Oborski, “Developments in integration of advanced monitoring systems,” Int. J. Adv. Manuf. Technol., vol. 75, pp. 1613–1632, 2014, doi: https://doi.org/10.1007/s00170-014-6123-x.

M. K. Geldenhuys, J. Will, B. J. J. Pfister, M. Haug, A. Scharmann, and L. Thamsen, “Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures,” in Proceedings - 2021 IEEE International Conference on Cloud Engineering, IC2E 2021, 2021, pp. 244–250, doi: 10.1109/IC2E52221.2021.00041.

M. Vokáč, L. Balík, and P. Boušk, “Monitoring of Historical Structure by IoT Technology with Use of ESP32 Development Board,” Key Eng. Mater., vol. 868, pp. 180–188, 2020, doi: https://doi.org/10.4028/www.scientific.net/KEM.868.180.

M. Babiuch and J. Postulka, “Smart Home Monitoring System Using ESP32 Microcontrollers,” in book-Internet of Things, 6th ed., F. P. G. Márquez, Ed. Rijeka: IntechOpen, 2020.

G. L. Foresti, C. Micheloni, C. Piciarelli, and L. Snidaro, “Visual Sensor Technology for Advanced Surveillance Systems: Historical View, Technological Aspects and Research Activities in Italy,” Sensors, vol. 9, no. 4, pp. 2252–2270, 2009, doi: https://doi.org/10.3390/s90402252.

P. Teixidó et al., “Secured Perimeter with Electromagnetic Detection and Tracking with Drone Embedded and Static Cameras,” Sensors, vol. 21, no. 21, p. 7379, 2021, doi: https://doi.org/10.3390/s21217379.

N. Arafah, “Rancang Bangun Mobil Remote Control dengan Smartphone Android Menggunakan Sensor HC-SR04 Berbasis Atmega328,” in Skripsi, 2021, p. 103, [Online]. Available: https://repositori.usu.ac.id/handle/123456789/31008.

K. Ingale, O. Tekade, P. Thakare, A. Wankhade, and P. Wankhade, “An Advanced Surveillance Motorized Car for Real-Time Inspection with Sensing Capabilities,” in Proceedings-Intelligent Control, Robotics, and Industrial Automation, 2024, pp. 263–279, doi: http://dx.doi.org/10.1007/978-981-97-4650-7_20.

R. Che, L. Wang, Y. Wang, and Q. Lin, “Research on Intelligent Video Surveillance System in Remote Area Based on NB-IoT,” in ACAI ’19: Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, 2019, pp. 255–259, doi: https://doi.org/10.1145/3377713.3377750.

K. Okokpujie, I. P. Okokpujie, F. T. Young, and R. E. Suba, “Development of an Affordable Real-Time IoT-Based Surveillance System Using ESP32 and TWILIO API,” Int. J. Saf. Secur. Eng., vol. 13, no. 6, pp. 1069–1075, 2023, doi: https://doi.org/10.18280/ ijsse.130609.

H. Dietz et al., “ESP32-CAM as a programmable camera research platform,” Electron. Imaging, vol. 34, pp. 232-1-232–6, 2022, doi: https://doi.org/10.2352/EI.2022.34.7.ISS-232.

P. D. P. Adi, “Performance evaluation of ESP32 Camera Face Recognition for various projects,” Â Internet Things Artif. Intell. J., vol. 2, no. 1, pp. 11–21, 2022, doi: https://doi.org/10.31763/iota.v2i1.512.

S. Vinod, P. Shakor, and M. Karakouzian, “Object Detection Using ESP32 Cameras for Quality Control of Steel Components in Manufacturing Structures,” Arab. J. Sci. Eng., vol. 48, pp. 12741–12758, 2022, doi: https://doi.org/10.1007/s13369-022-07562-2.

M. F. Dzulqarnain, “Rancang Bangun Aplikasi Mobil Remote Control Pemantau Berbasis Android Pada Mikrokontroler Arduino,” JUSTIN (Jurnal Sist. dan Teknol. Informasi), vol. 3, no. 3, 2015, doi: https://doi.org/10.26418/justin.v3i3.11506.

A. Mahdali, Lutfi, and R. D. M. Sedik, “Pengembangan Wireless Remotely Operated Vehicle Berbasis Web,” in Seminar Nasional Teknologi Industri IX 2022, 2022, pp. 23–26, [Online]. Available: https://atim.ac.id/seminar-nasional-teknologi-industri-snti-ix-2022/.

B. Fandidarma, R. D. Laksono, and K. W. B. Pamungkas, “Rancang Bangun Mobil Remote Control Pemantau Area berbasis IoT menggunakan ESP 32 Cam,” J. ELECTRA Electr. Eng. Artic., vol. 2, no. 1, pp. 31–38, 2021, [Online]. Available: https://www.semanticscholar.org/reader/42a5e8c3f71ff4c0dde63c7b3e74648ab5945c7b.

M. M. R. Meem, P. S. Chowhan, F. A. Mim, and M. T. Ahmed, “Artificially Intelligent Surveillance and Security Sentinel for Technologically Enhanced and Protected Communities,” Int. J. Eng. Manuf., vol. 4, pp. 15–25, 2024, doi: DOI: 10.5815/ijem.2024.04.02.

N. S. Uttam, R. P. Bapu, S. K. Baburao, and S. I. Nipanikar, “Smart Surveillance System Using ESP32,” Microelectron. Digit. Integr. Circuits, vol. 10, no. 1, pp. 1–9, 2024, [Online]. Available:https://journalspub.com/wp-content/uploads/2024/07/1-9-SMART-SURVEILLANCE-SYSTEM-USING-ESP32-3.pdf.

G. S. Sawant, P. C. Jadhav, and R. V. Prajapati, “Long Distance Survelliance Robot Using Iot Blynk,” Mukt Shabd J., vol. XII, no. V, pp. 496–499, 2022, doi: 10.0014.MSJ.2023.V12I05.0086781.1143551.


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