Pattern Recognition Through Digital Image Processing for Unmanned Aerial Vehicles

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Pattern Recognition Through Digital Image Processing for Unmanned Aerial Vehicles

IEEE Access. 2019. Article 1.

Bhimani K. R., Gabino R. V., Prakosa J.

Editor of translation: A. B. Alvarez

This paper describes the implementation of
two digital image processing methods for pattern
recognition, by color boundary method and the Haar
Cascade Classifier to detect objects in a video stream,
both methods implemented on Python 3 and OpenCV.
Patterns detection of images obtained from drones has
advantages over traditional video recording drones. The
drone has a streaming video system, based on the
Raspberry Pi 3 minicomputer, which is sent by wireless
communication to the base station where a pattern
recognition algorithm performs operations on the video
source coming from the drone. This proposed system has
excellent performance based on an integrated streaming
video system with 5.8GHz Wi-Fi connection acceptable to
the base station. Both methods proved to be valid for
certain types of patterns and objects under different light
conditions.

Research target: Computer Science Electronics and Electrical Engineering

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