Temperature Measurement Of Visible Heat Sources Using Neural Network

In any industrial processes, the temperature measurement is an important requirement. Presently thermocouples, pyrometers and contact type sensors etc. devices and techniques are used for temperature measurement of several heat sources. Temperature measurement of furnace, boiler,burner etc. is a very difficult and tedious task also breakage of sensors occurs due to such high temperature so it requires daily maintenance. In this proposed system image processing and neural network technique is used to estimate the temperature of visible heat sources. System uses camera to take the images of heat source. Thermocouple will be used to measure the actual temperature. Various analytical techniques can be applied to estimate the color temperature correlation. Artificial neural network (ANN) is used to create the database of captured images and measured temperature so that approximate temperature is estimated.