A Study of automated image capturing HDI environment using NAVIO 2

Udaka A. Manawadu, M. W.Y.C. Karunarathna, H. D.C.N. Gunawardana, Chinthaka Premachandra, P. Ravindra S. De Silva, W. A.S. Wijesinghe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a development of a low cost Human Drone Interaction (HDI) that is capable of taking images of scenes with people. Such a system will have many applications such as taking selfie images securely and detecting humans in rescue operations. We designed a HDI environment working with NAVIO 2 which is compatible with raspberry pi. OpenCV libraries gave additional speed to the system instead of using other image processing methods. Dynamic adaptation and the photography parallax were the main areas that we considered during the air-time of the drone. We constructed the proposed drone with the minimal designing architecture without all the additional building parts. After the initial design, the system was tested for HDI environment in different scenarios. Based on the test results, HDI environments parameters, such as stabilization, image quality, and speed, were tuned up. The results were quite impressive, compatibility between NAVIO 2 and Raspberry pi made this system a powerful HDI environment.

Original languageEnglish
Title of host publication2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages499-500
Number of pages2
ISBN (Electronic)9781538663097
DOIs
Publication statusPublished - 2018 Dec 12
Event7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
Duration: 2018 Oct 92018 Oct 12

Other

Other7th IEEE Global Conference on Consumer Electronics, GCCE 2018
CountryJapan
CityNara
Period18/10/918/10/12

Keywords

  • Dynamic Adaptation
  • Human Drone Interaction (HDI)
  • NAVIO 2
  • Photography Parallax
  • Raspberry Pi

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

Fingerprint Dive into the research topics of 'A Study of automated image capturing HDI environment using NAVIO 2'. Together they form a unique fingerprint.

  • Cite this

    Manawadu, U. A., Karunarathna, M. W. Y. C., Gunawardana, H. D. C. N., Premachandra, C., De Silva, P. R. S., & Wijesinghe, W. A. S. (2018). A Study of automated image capturing HDI environment using NAVIO 2. In 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018 (pp. 499-500). [8574657] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2018.8574657