TY - GEN
T1 - A Study of automated image capturing HDI environment using NAVIO 2
AU - Manawadu, Udaka A.
AU - Karunarathna, M. W.Y.C.
AU - Gunawardana, H. D.C.N.
AU - Premachandra, C.
AU - De Silva, P. Ravindra S.
AU - Wijesinghe, W. A.S.
N1 - Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/12/12
Y1 - 2018/12/12
N2 - 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.
AB - 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.
KW - Dynamic Adaptation
KW - Human Drone Interaction (HDI)
KW - NAVIO 2
KW - Photography Parallax
KW - Raspberry Pi
UR - http://www.scopus.com/inward/record.url?scp=85060301874&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060301874&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2018.8574657
DO - 10.1109/GCCE.2018.8574657
M3 - Conference contribution
AN - SCOPUS:85060301874
T3 - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
SP - 499
EP - 500
BT - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Global Conference on Consumer Electronics, GCCE 2018
Y2 - 9 October 2018 through 12 October 2018
ER -