Real-Time Video Surveillance Using ESP32-CAM for IoT Applications

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 13 | Issue : 02 | Page : –
    By

    Monika Kapoor,

  • Aashutosh Sharma,

  • Jasleen Kaur Minhas,

  • Kartik Bakshi,

  • Khushi Kumari,

  1. Professor, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Kalchuri Nagar, Bhopal, Madhya Pradesh, India
  2. Student, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Kalchuri Nagar, Bhopal, Madhya Pradesh, India
  3. Student, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Kalchuri Nagar, Bhopal, Madhya Pradesh, India
  4. Student, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Kalchuri Nagar, Bhopal, Madhya Pradesh, India
  5. Student, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Kalchuri Nagar, Bhopal, Madhya Pradesh, India

Abstract

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The rapid advancements in technology and the growing concerns for security have driven the need for innovative, cost-effective, and scalable surveillance systems. This project presents the development of a smart surveillance system using the ESP-32 CAM module, a compact and low-cost microcontroller integrated with Wi-Fi, Bluetooth, and a high-resolution OV2640 camera. The system is designed to provide real-time monitoring, motion detection, and automated alert features, catering to the security needs of residential, commercial, and industrial environments. The surveillance system harnesses the capabilities of the ESP-32 CAM to enable live video streaming and image capture, which can be accessed remotely via web browsers or mobile applications. The system is equipped with intelligent motion detection algorithms, ensuring efficient monitoring by triggering event-based video recordings or snapshots. This approach optimizes storage and reduces the consumption of bandwidth, making the system resource-efficient. Data captured by the system can be stored locally on a microSD card or uploaded to cloud platforms such as Firebase, AWS, or Google Drive for remote access and backup. Cloud integration enhances flexibility and allows users to review footage or monitor live feeds from anywhere, ensuring a comprehensive security solution. The system also sends instant notifications via email or push notifications upon detecting suspicious activities, providing users with real-time alerts for prompt action. In addition to its advanced functionalities, the ESP-32 CAM-based surveillance system is designed with energy efficiency and scalability in mind. Its low power consumption makes it ideal for battery-operated setups, while its modular architecture allows for easy expansion, enabling multiple units to work together seamlessly for larger monitoring networks. The use of open-source software frameworks further enhances the system’s affordability and customization potential. This project underscores the potential of leveraging low-cost yet powerful microcontrollers like the ESP- 32 CAM to develop modern surveillance solutions that meet the demands of an  increasingly
connected world. By integrating real-time monitoring, intelligent alerts, and remote access, the proposed system offers a practical, reliable, and innovative approach to enhancing security across various domains.

Keywords: ESP32-CAM, wireless surveillance, embedded systems, IoT security

[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]

How to cite this article:
Monika Kapoor, Aashutosh Sharma, Jasleen Kaur Minhas, Kartik Bakshi, Khushi Kumari. Real-Time Video Surveillance Using ESP32-CAM for IoT Applications. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(02):-.
How to cite this URL:
Monika Kapoor, Aashutosh Sharma, Jasleen Kaur Minhas, Kartik Bakshi, Khushi Kumari. Real-Time Video Surveillance Using ESP32-CAM for IoT Applications. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(02):-. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=0



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Regular Issue Subscription Review Article
Volume 13
Issue 02
Received 29/03/2025
Accepted 14/04/2025
Published 22/04/2025
Publication Time 24 Days
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