TY  - CONF
AV  - none
SP  - 218
TI  - Hand Gesture-based Control of Autonomous UAV for Mobile Disinfectant Dispenser
ID  - scholars17235
KW  - Antennas; Dispensers; Drones; Learning algorithms; Machine learning; Maneuverability
KW  -  Aerial vehicle; Autonomous capability; Autonomous unmanned aerial vehicles; Hand gesture; Hybrid algorithms; Machine-learning; On-machines; Quadrotor unmanned aerial vehicles; Unmanned aerial vehicle; Vision capability
KW  -  COVID-19
N1  - cited By 2; Conference of 2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:186671
N2  - Autonomous unmanned aerial vehicles (UAVs) have witnessed a rapid increase in their utilization in various applications and will continue to do so in the coming decades. These UAVs, also known as drones, are designed to either assist humans or perform tasks that involve people. Drones of today have grown to be faster and less expensive by integrating several technologies, supported by hybrid algorithms, and perform various tedious, challenging, filthy and hazardous tasks. The deployment of machine learning and other AI-based algorithms enhances drones' autonomous and vision capabilities. Today, part of an effort to curtail the spread of COVID-19, this research has designed, developed and built a mobile disinfectant dispenser based on autonomous quadrotor UAV. It is a 'flying dispenser', able to detect a person's hand gestures from afar, based on machine learning (ML), to fly and maneuver towards the person and finally spray disinfectant on his/her hand. In order to identify various hand motions for maneuvering, this research studies and improves the ML algorithms and carries out various experiments to improve the drones' response time and maneuvering performance, for the final objective of taking precautions to protect humans from Covid-19. © 2022 IEEE.
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9798350334548
Y1  - 2022///
EP  - 222
A1  - Anwar, K.D.B.K.
A1  - Abro, G.E.M.
A1  - Zulkifli, S.A.B.M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149147565&doi=10.1109%2fICFTSC57269.2022.10039812&partnerID=40&md5=13240854940694a3613b38346dad7bf7
ER  -