Unmanned systems are increasingly being adopted by military and civilian organizations for a variety of roles previously carried out with manned aircraft, including Intelligence, Surveillance and Reconnaissance (ISR), and search and rescue operations. These drones can carry a variety of sensor packages, and produce a high volume of data including FLIR and full-motion video.
However, the sheer volume of data produced can introduce operational challenges. Analysts typically pull data from various sources depicted on separate displays and try to decide what data is relevant and useful. After this lengthy process the analysist must then figure out how to get this data to where it is needed in the tactical environment. This takes time and often the initiative is lost.
While it's useful for unmanned system operators to have access to real-time ISR sensor data, the raw data is of limited use unless it can be analysed and shared. A lack of standards implementation for data exchange, and the sheer volume of sensor data collected confronts organizations with significant challenges, including: