DESIGN AND CONSTRUCTION OF A SURVEILLANCE CCTV CAMERA USING ESP32 CAM AND ANDRIOD APP

Security and surveillance have become essential in modern society, with the need for cost-effective and efficient monitoring solutions increasing. Traditional CCTV systems often require expensive infrastructure, complex installation, and extensive maintenance, making them less accessible for small businesses and homeowners. This project explores the design and implementation of a low-cost, wireless surveillance CCTV system using the ESP32-CAM microcontroller and an Android application. The system leverages the ESP32-CAM's built-in WiFi connectivity to enable real-time video streaming, motion detection, and remote access through an intuitive mobile interface. A dual-camera setup was integrated to enhance surveillance coverage, with one camera fixed for continuous monitoring and the other mounted on a motorized base for 360° movement. Additionally, cloud storage via Firebase and local SD card recording were incorporated to ensure flexible data management. To improve system efficiency, optimizations were made in video transmission quality, motion detection accuracy, and power management. A solar power option was also introduced, allowing for deployment in remote locations without access to a stable power grid. Through extensive testing, key performance metrics such as response time, network stability, and power consumption were evaluated, providing insights into the system’s reliability and scalability. This project demonstrates how IoT-based surveillance can provide an affordable and adaptable security solution. While the ESP32-CAM offers a practical alternative to conventional CCTV systems, challenges such as network limitations and hardware constraints highlight areas for further enhancement. Future improvements could include AI-powered motion detection, higher-resolution video processing, and advanced encryption for data security.