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The energy resources being scarce, their efficient utilization and over use remained a heated topic on International forums. The average energy consumption per person per annum is expected to cross the value of 2000 kilograms of energy/fuel resources figure. The gauged estimations are limited. There is no mechanism for regular checks on idle losses. The estimation/ predication of consumptions have been neglected for years, resulting in huge financial losses. In view of the arising problems, the paper proposes a model design based on Image Processing, Wireless Sensors Networks and Artificial Neural Networks. The model has low design cost and is ideal for miscellaneous gauged analog estimations in close-spaced industrial environments.
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