ENHANCING SMART HOME SECURITY WITH IOT-ENABLED REMOTE CAMERA CONTROL: A WEB APPLICATION AND TELEGRAM BOT TECHNOLOGIES
Faculty
Department
Year of Publication
Keyword
Publication Type
Abstract
The increasing adoption of smart home technologies and the demand for robust home security systems have driven the need for innovative solutions that integrate various components seamlessly. This project presents a comprehensive smart home security solution that integrates IoT technology with remote camera control capabilities, leveraging the cost-effective ESP32-
CAM microcontroller. The system comprises two key components: a responsive web application and a Telegram bot interface, designed to provide homeowners with real-time surveillance and control functionality. The ESP32-CAM module, equipped with Wi-Fi connectivity and an integrated camera sensor, is the core hardware, capturing high-quality images and video streams
that can be accessed remotely through either interface. The web application offers an intuitive dashboard for monitoring live video feeds, viewing captured images, controlling camera parameters, and receiving motion-triggered alerts. Complementing this, the Telegram bot provides similar functionality through a conversational interface, allowing users to request images, view live streams, and receive instant notifications on their mobile devices. This dual-interface approach ensures accessibility across various devices and user preferences. The implementation utilizes a decentralized architecture where the ESP32-CAM operates as both a camera and a lightweight server, communicating directly with client applications without relying on cloud infrastructure. This edge computing approach prioritizes data privacy and reduces dependency on external services. The Telegram bot integration leverages the Telegram API for secure notifications while maintaining the local processing paradigm. Experimental
results demonstrate the system's effectiveness in providing reliable surveillance with minimal latency while maintaining reasonable power consumption for extended operation. This solution offers an affordable yet robust alternative to commercial smart security systems, making home security technology more accessible to a broader range of users
CAM microcontroller. The system comprises two key components: a responsive web application and a Telegram bot interface, designed to provide homeowners with real-time surveillance and control functionality. The ESP32-CAM module, equipped with Wi-Fi connectivity and an integrated camera sensor, is the core hardware, capturing high-quality images and video streams
that can be accessed remotely through either interface. The web application offers an intuitive dashboard for monitoring live video feeds, viewing captured images, controlling camera parameters, and receiving motion-triggered alerts. Complementing this, the Telegram bot provides similar functionality through a conversational interface, allowing users to request images, view live streams, and receive instant notifications on their mobile devices. This dual-interface approach ensures accessibility across various devices and user preferences. The implementation utilizes a decentralized architecture where the ESP32-CAM operates as both a camera and a lightweight server, communicating directly with client applications without relying on cloud infrastructure. This edge computing approach prioritizes data privacy and reduces dependency on external services. The Telegram bot integration leverages the Telegram API for secure notifications while maintaining the local processing paradigm. Experimental
results demonstrate the system's effectiveness in providing reliable surveillance with minimal latency while maintaining reasonable power consumption for extended operation. This solution offers an affordable yet robust alternative to commercial smart security systems, making home security technology more accessible to a broader range of users
Supervisor(s)
co-supervisor