kumoh national institute of technology
Networked Systems Lab.

Trung-Thanh Ngo and Dong-Seong Kim, Design and Implementation of an automated long-distant self-portrait camera system using WSNs, International Conference on Control, Automation and Systems (ICCAS) 2017, pp. 1768-1772, Jeju, Korea, 18-21 October, 2017. doi:10.23919/ICCAS.2017.8204260
By :
Date : 2017-04-20
Views : 648

Abstract:
This paper proposes an automated, long-range selfie camera system using LORA (LORA-SELFIE). LORA-SELFIE addresses the FOV problem of smart phone cameras by enabling users to take selfies and landscape photos automatically from a distance. On LORA-SELFIE, a wireless sensor network is used to track users presence at designated shooting spots. If a user is not found at the designated spot, LORA-SELFIE goes to sleep mode to save energy. Moreover, the operating range of LORA-SELFIE can be extended easily by adding more relay nodes to the network. Experimental results show that LORA-SELFIE solves the FOV problem and is even better than an existing commercial system in terms of energy-consumption, and processing time.

Available online: https://ieeexplore.ieee.org/document/8204260