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Quadcopter Based Object Detection and Localization | ||
| Iraqi Journal for Computers and Informatics ijci | ||
| Article 1, Volume 43, Issue 1, 2017, Pages 40-44 | ||
| Authors | ||
| Zeyad kamel tayeh; Haider abd aoun; Hussein Ali Dawood; Baraa M. Albaker; Malik A. Alsaedi | ||
| Abstract | ||
| This paper presents the development and integration of an X-configuration quadcopter with an IP camera for object detection based on the color of an object. A KK2 microcontroller is used to control the quadcopter movements. The controller has builtin gyros that provide heading rate information, which are used to control the movement of the quadcopter. The parts of the whole UAV are selected and integrated. The calibration processes are handled after installing necessary controller codes. This is to make quadcopter fly smoothly according to its set commands. The IP camera is then attached to the quadcopter frame. Mobile camera with GPS receiver is used for object detection and localization. Images are captured from the IP camera; the three-dimensional position information for the quadcopter is recorded by the GPS receiver, and then the whole data are sent repeatedly from the Mobile to a ground stati on computer via wireless communication link. Two algorithms are next implemented to acquire and analyze the Images received form the IP camera. The results show that the images was captured and analyzed successfully, and the objects were detected according to their color and its approximate position was reported. | ||
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