Vision based uav for suspect Recognition and following
| dc.contributor.author | Mian Muzammil | |
| dc.contributor.author | Hussain Sami Ullah | |
| dc.contributor.author | Abdul Rehman | |
| dc.contributor.author | Ahad Butt | |
| dc.date.accessioned | 2025-12-27T06:59:45Z | |
| dc.date.available | 2025-12-27T06:59:45Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Unmanned Aerial Vehicle’s (UAV’s) are mostly used for distinct objectives and missions e.g for aerial reconnaissance, for scanning of the earth (remote sensing), for searching, rescuing and transporting as well. UAV’s consist of numerous types e.g Tri-Copter, Quad-copter, Hexa-copter, Octa-Copter. We built an autonomous quadcopter that can be used to follow the human through image processing. For this purpose, we used Viola-Jones face detection algorithm. It is the most appropriate procedure for detecting the human faces. There are other algorithms that can be used for face detection like Dlib face detector but Viola-Jones face detection algorithm is the fastest. It has less accuracy than Dlib. Before image processing, the stability of this quadcopter is the most important thing which we have done accurately. It can serve more strategic operations, for example, looking through a town or locking persons. Ultimately, it will provide benefits for distinct purposes (e.g reconnaissance and defense) as well as commercial use (e.g traffic surveillance and weather detection). | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/18085 | |
| dc.language.iso | en | |
| dc.publisher | UMT.Lahore | |
| dc.title | Vision based uav for suspect Recognition and following | |
| dc.type | Thesis |