A group of students in SRM University led by Sobin Santhosh, final year student in the Aerospace department, has designed and implemented an autonomous copter equipped with an automatic face and person recognition system in a day. They have trained their intelligent software to detect a person irrespective of his/her attire, face orientation, posture and/or background. In their drill experiment of the rescue application, an onboard camera was mounted on a quad-copter UAV where a live video was recorded. The video was fed to the person identification software, developed on a MATLAB platform by Arijit Ray, a final year student of SRM University in the Electrical and Electronics Department. The software successfully detected the target person in an image taken while the copter has hovering. Several images of the target individual were taken in different postures, angles and backdrops to ensure that the software has a robust accuracy. The GPS location of the snapshot image was also transmitted to the ground station and it conformed exactly to the location at which the snapshot was taken.Such an in-genuine application involving autonomous copters enunciate the myriad scopes for further research and development in the fields of smart security and surveillance. Rescue operations that go on for days and even months can be completed in a matter of few hours as copters can reach horizontal traversing speeds up to 5 m/s. Moreover, autonomous copters can now be used as smart police surveillance aerial bots. Latest research in image processing has made possible the detection of activities in images. Such techniques can be further developed to be make more robust under unrelenting conditions and then can be employed on copters for smart detection of crime at weary hours of night when human surveillance is not pragmatically possible.
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