This thesis explores the practical implementation of a security surveillance system based on the Raspberry Pi computer and Internet of Things (IoT) technology. The thesis focuses on system development, implementation, and the creation of a specific application using the Python programming language, enabling precise control of sensors and cameras and automatic motion detection. The central function of this system is motion detection, where the camera is automatically activated and captures a photograph as soon as motion is detected in the monitored area. Subsequently, the captured photograph is sent via email in the form of an alert message to system owners or users. This functionality makes the system an exceptionally useful tool for monitoring and securing spaces without the need for constant physical presence. The thesis also investigates the results of testing this system, clearly confirming its high efficiency and practicality. In addition to basic security features, the system underscores the importance of connecting sensors and cameras via the internet to a central platform. This enables real-time space monitoring and usage, regardless of the user's location. Furthermore, the thesis highlights the societal implications of such technological innovations, with a particular emphasis on the potential to enhance security in homes and broader environments. Through the application of IoT technology and modern programming, this security surveillance system represents a practical and innovative solution to contemporary challenges related to security and protection, contributing to the creation of a better and safer living environment.