Open AccessData annotation system for intelligent energy conservator in smart building
Author(s) -
Bens Pardamean,
Tjeng Wawan Cenggoro,
Bloomest Jansen Chandra,
Reza Rahutomo
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/426/1/012008
Subject(s) - annotation , computer science , building automation , energy (signal processing) , estimation , data mining , artificial intelligence , systems engineering , engineering , statistics , mathematics , physics , thermodynamics
The concept of smart building includes the optimization of energy usage in a building. One of the possible solutions for this is to adaptively adjust appliances utilization according to activity level in the building. Thus, an intelligent activity estimation system needs to be developed. However, massive annotated dataset is necessary to train the system. Therefore, we propose a system that enables rapid data annotation to collect the massive dataset. With the proposed system, an image can be annotated within 4.8 seconds in average.