The utilization of unmanned aerial vehicles (UAVs) in military operations has brought a significant transformation to modern warfare. These versatile and agile aircraft offer numerous advantages, including intelligence gathering, surveillance, reconnaissance, and precise strikes, thereby enhancing military capabilities on the battlefield. However, alongside their benefits, UAVs also present certain risks and challenges, particularly in terms of detection and tracking. This scientific article investigates the process of directing the surveillance device towards suspicious flying object detected in a border zone where video camera is used for monitoring purposes. The proposed algorithm focuses on calculating the approach angles of the cameras towards the detected object. This calculation involves utilizing the object’s coordinates captured on the camera screen at specific moments and determining the orientation angles towards the object during those instances. Additionally, it has been established that incorporating the second camera into the identification process provides the capability to ascertain the object’s elevation during its flight. By accurately determining the direction angles towards the suspicious object, this algorithm serves as an initial step in the development of an advanced monitoring and tracking system that can effectively mitigate potential threats in real-world scenarios. The ability to calculate the approach angles of video cameras towards suspicious objects plays a crucial role in improving the overall monitoring and surveillance system.