With the increasing integration of smart technologies into daily life, the need for an efficient, automated, and remotecontrolled electrical device surveillance system has become imperative. The Internet of Things (IoT) provides a robust platform for developing intelligent systems that allow users to monitor and control electrical devices from anywhere using internetconnected devices. Traditional electrical control mechanisms rely on manual operation, which limits flexibility and efficiency. This paper proposes an IoT-based electrical device surveillance and control system that enhances energy efficiency, security, and user convenience. The system consists of smart sensors, microcontrollers, and cloud-based platforms to facilitate real-time monitoring and control. Data collected from sensors are processed and analyzed to optimize power consumption while ensuring the safety of electrical appliances. The proposed system integrates machine learning techniques for predictive maintenance, anomaly detection, and automated decision-making. By leveraging IoT-based automation, this system minimizes human intervention, reduces energy waste, and provides a cost-effective solution for home automation and industrial applications. This paper explores the existing challenges, proposed methodology, system architecture, and experimental results that validate the effectiveness of the developed system