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Autonomous Navigating Drone with Object Detection


Author(s):

Archana Vijayan , Mar Athanasius College of Engineering; Achuth Chandra M, Mar Athanasius College of Engineering; Suraj Rajan, Mar Athanasius College of Engineering; Yadukrishnan S, Mar Athanasius College of Engineering

Keywords:

Autonomous navigation, Datasets, Object recognition, Propellers, Flight controller

Abstract:

The goal of this paper is to design and fabricate a multicopter to obtain a stable flight with live video recording, autonomous navigation and video analysis/processing. This paper uses a completely 3D printed frame using Poly Lactic Acid (PLA), brushless dc motors, electronic speed controllers, flight controller, transmitter and receiver, GPS module and Raspberry pi for video processing. This drone also houses a wide angle micro first person view camera (FPV) which allows the user to control and navigate the drone beyond line of sight. It also makes use of technologies like OpenCV (Open Computer Vision) and Python programming to implement autonomous navigation, face recognition, object detection and tracking and obstacle avoidance. By analyzing the video captured and then comparing it with trained datasets, it is possible to identify objects/people in real time for object detection.


Other Details:

Manuscript Id :IJSTEV5I12012
Published in :Volume : 5, Issue : 12
Publication Date: 01/07/2019
Page(s): 21-25
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