Drone surveillance, also known as unmanned aerial vehicles (UAVs), is increasingly being used in search and rescue (SAR) operations. These drones are equipped with various sensors and technologies that allow them to search and locate missing people in a fast, efficient and safe way. They can cover large areas quickly, and access difficult-to-reach locations that would be hard for ground-based search teams to reach.
Drones can be equipped with cameras that provide live streaming or high-resolution aerial footage, which can be used to identify potential survivors and assess the terrain. They can also carry thermal imaging cameras that can detect heat signatures, making them useful for finding people at night or in low visibility conditions. Additionally, GPS navigation and obstacle avoidance technology can help the drone navigate through challenging environments and avoid potential hazards.
Drones can also be used to map the area, this can provide critical information on the location and layout of the terrain which can be used to direct ground-based search teams. Drone technology also enables emergency services to make real-time decisions based on the information provided by the drone, which can help to speed up the rescue process.
Drone Surveillance for Search and Rescue (SAR) operations offers a valuable tool for emergency services, it allows them to cover large areas quickly and safely, to access difficult-to-reach locations, and to gather data and information that can inform decision-making during the rescue operation.
Search and rescue is an essential operation that is generally executed after the disaster occurs in the perspective of natural calamities. It is a combination of two different words, "Search" and "Rescue." Each one is individually performed by the local volunteers or with the help of army teams traditionally. SAR operations aim to rescue the utmost number of people in the shortest time while minimizing risk to rescuers. A natural disaster such as ﬂood, earthquake, heavy snowfall, and landslide typically damage infrastructure, causes injury, and sometimes massive loss of human life. An immediate life-saving response is needed in these cases to rescue those who are trapped and stabilize them by shifting to a safer place.
intervention. Advances automation technology, such as deep-learning-based image and video processing, may be able to solve this issue. In order to provide better search results in disaster, a speciﬁc image and video processing component is required to embedded in drone. Developing drone based solution for surveillance leads to various potential attacks also, as the nature of communication in drone is wireless and specially in remote areas makes it easier to attack for attackers.