A Speech Recognition Based Industrial Device Control Using ZIGBEE

Abstract

Industrial Automation technique is growing rapidly and there is enormous need to provide supporting systems for the Industries.   Industrial automation systems must comply with the Industrial standards and convenience of usage. This project details the overall design of a wireless Industrial automation system (WIAS) through wireless communication. The concept of this project is control the industrial machines that are used for wide range of application through voice recognition. The machines can be controlled from longer distance. For this purpose, the need to go for zigbee technology is sufficient. Other than zigbee, the techniques of Bluetooth and wired is not secure. In present scenario, under the concept of neural networks and hidden markov model, voice recognition is achieved with maximum efficient output. With further changes in above concept, there is a possible chances of increase in the efficiency of output than above algorithms .The algorithms is defined in matrix laboratory[MATLAB] software. Other electronic system in this circuit is control by embedded system using MPLAB found by microchip technology. This technique is cost effective, user friendly and can be extended to any automaton systems.