Security in higher education institutions is a critical priority. Traditional video surveillance systems often suffer from significant limitations, such as blind spots and a dependence on fixed infrastructure, which restrict effective surveillance, especially in large or low-traffic areas. To address these shortcomings at the Escuela Superior Politécnica de Chimborazo (ESPOCH), this study focused on the development and evaluation of an innovative web-based platform. The platform enables real-time monitoring of events through the retransmission of video signals from DJI drones, efficiently integrating streaming protocols such as RTMP and HLS. For development, modern technologies such as HTML, CSS, and JavaScript were employed in the frontend, and a robust backend based on Node.js and Python, with PostgreSQL as the database management system. The SCRUM development methodology was rigorously applied over six sprints. The platform’s performance was extensively evaluated on campus, using Chrome DevTools to analyze key metrics. The findings demonstrated optimal performance; memory consumption and CPU usage consistently remained below 70%, ensuring a smooth user experience. Furthermore, transmission latency remained below the normal 30-s limit of the HLS protocol, confirming the platform’s viability and efficiency for real-time monitoring. These results demonstrate that the integration of drones and streaming technologies optimizes the coverage and effectiveness of university surveillance, offering a scalable and high-performance solution.