TY - GEN
T1 - Low-cost appliance control system for home automation and energy management using image processing
AU - Shet, Nagaraj
AU - Shreesha, C.
AU - Rao, P. V.
AU - Gubbi, Abdullah
PY - 2016/1/1
Y1 - 2016/1/1
N2 - In the stressful life, enhancing the quality of life at home is the need of the hour. Smart home automation is being incorporated with an intelligent system. Existing systems are creating major challenges in terms of cost and energy management. In a home network environment, keeping the sensors and devices always on consumes more electrical power and increases the cost paid for consumption of power. In the proposed work, energy management has been carried out with an intelligent algorithm. Image processing has a very big potential to do virtually anything. The challenges of cost have been overcome using image processing. Algorithm is developed for image processing-based appliance control system. The method proposed in this paper reduces the cost of sensors used in home automation. With image processing-based home automation there is less energy consumption, reduction in umber of sensors, and also optimized maintenance cost of home automation networks.
AB - In the stressful life, enhancing the quality of life at home is the need of the hour. Smart home automation is being incorporated with an intelligent system. Existing systems are creating major challenges in terms of cost and energy management. In a home network environment, keeping the sensors and devices always on consumes more electrical power and increases the cost paid for consumption of power. In the proposed work, energy management has been carried out with an intelligent algorithm. Image processing has a very big potential to do virtually anything. The challenges of cost have been overcome using image processing. Algorithm is developed for image processing-based appliance control system. The method proposed in this paper reduces the cost of sensors used in home automation. With image processing-based home automation there is less energy consumption, reduction in umber of sensors, and also optimized maintenance cost of home automation networks.
UR - http://www.scopus.com/inward/record.url?scp=84959150625&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959150625&partnerID=8YFLogxK
U2 - 10.1007/978-81-322-2656-7_12
DO - 10.1007/978-81-322-2656-7_12
M3 - Conference contribution
AN - SCOPUS:84959150625
SN - 9788132226543
VL - 394
T3 - Advances in Intelligent Systems and Computing
SP - 125
EP - 134
BT - Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015
PB - Springer Verlag
T2 - International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015
Y2 - 22 April 2015 through 23 April 2015
ER -
