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 language | English |
|---|---|
| Title of host publication | 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 499-500 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538663097 |
| DOIs | |
| Publication status | Published - 2018 Dec 12 |
| Event | 7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan Duration: 2018 Oct 9 → 2018 Oct 12 |
Other
| Other | 7th IEEE Global Conference on Consumer Electronics, GCCE 2018 |
|---|---|
| Country | Japan |
| City | Nara |
| Period | 18/10/9 → 18/10/12 |
Fingerprint
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
Cite this
A Study of automated image capturing HDI environment using NAVIO 2. / Manawadu, Udaka A.; Karunarathna, M. W.Y.C.; Gunawardana, H. D.C.N.; Premachandra, Chinthaka; De Silva, P. Ravindra S.; Wijesinghe, W. A.S.
2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 499-500 8574657.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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, Chinthaka
AU - De Silva, P. Ravindra S.
AU - Wijesinghe, W. A.S.
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
SP - 499
EP - 500
BT - 2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -