Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 17, Pages: 1-8
Narayanam Sri Prakash* and N. Venkatram
*Author of Corresponding: Narayanam Sri Prakash Department of Electronics and Computer Engineering, KL University, Vaddeswaram, Guntur District - 522 502, Andhra Pradesh, India; [email protected]
Objective: To enhance the automation of home security through biometric recognition, Finger Print in home IOT. Analysis: Most of the present technologies using voice recognition technologies and the pattern of security in the home environment in which it is worked by an approved client’s voice key through the confirmation procedure of Speaker Recognition and voice modulation. But this procedure may not yield optimum results when the client’s speech/voice is deteriorated due to an illness or undergoing through an emotional rift. Methodology: Instead of using voice recognition technology in IOT of home security system, we opt for implement finger print recognition technique, which overcomes the problems of existing speech recognition techniques and also greatly reduces the cost of the hardware equipment. Implementation is to be done in Raspberry Pi along with the hardware modules viz., Wi-Fi router, Gas Sensor, Fire Sensor, Door Fringe motor sensor and evaluated our proposed methodology. Finding/Improvements: We implement the proposed system as a stand-alone application in Raspberry Pi2 and successful in evaluating the results which support our proposed scheme, justifying the usage of Finger Print Automation is quite efficient and economical over the usage of existing voice recognition techniques in home security automation.
Keywords: Fingerprint Module, Fire Sensor, Gas Sensor, Internet of Things, Raspberry Pi 2
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