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dc.contributor.author | Khan, Mavia Reg # 45917 | |
dc.contributor.author | Quddusi, Umair Reg # 45932 | |
dc.contributor.author | Rehman, Ismail Reg # 45905 | |
dc.date.accessioned | 2023-05-02T05:28:57Z | |
dc.date.available | 2023-05-02T05:28:57Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/15323 | |
dc.description | Supervised by Dr. Safdar Rizvi | en_US |
dc.description.abstract | Drones, as known as unmanned aerial vehicles are aircrafts which can perform autonomous pilot. They can easily reach locations which are too difficult to reach or dangerous for human beings and collect images from bird's-eye view through aerial photography. Enabling drones to identify people on the ground is important for a variety of applications, such as surveillance, people search, and remote monitoring. Since faces are part of inherent identities of people, how well face recognition technologies can be used by drones becomes essential for future development of the above applications. Face recognition identifying one or more people in images or videos by analysing and comparing patterns. Algorithms for face detection typically extract facial features and identifying them in the given video or image. In addition to this process we add the tool of drone, which is used to monitor the activities at a next level. Face detection is typically used in security systems. Besides that, it is also used in human computer interaction. A general statement ofthe problem can be formulated as follows, given still or video images of a scene, one or more persons in the scene can be identified using a stored database of faces. The solution of the problem involves face detection, feature extraction from the face regions and recognition. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BS IT;MFN BS-IT 23 | |
dc.title | AIR SURVEILLANCE AND RECOGNITION OF PERSON USING QUAD COPTER | en_US |
dc.type | Project Reports | en_US |