Deep Learning for Voice Control Home Automation with Auto Mode

Indranil Saha and S. Maheswari ()
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Indranil Saha: Vellore Institute of Technology, Faculty of SCSE
S. Maheswari: Vellore Institute of Technology, Faculty of SCSE

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1605-1614 from Springer

Abstract: Abstract This Paper Presents the Development of voice control and auto control home automation. The system has been design to control all home electronic devices. Amazon echo application has been used voice recognition and process the voice input from the smart devices. In this paper, the voice input has been captured by the android phone app and send to the Arduino micro controller using Bluetooth. Arduino Bluetooth module received the signal. And under the Arduino code processing the signal and control the home electronic application. This system understands Multilanguage. The proposed system intended to all electronic devices (TV, Projector, AC Remote controlling system). Another one is auto mode. This system has automatic mode, LDR sensor calculate the room light level and temperature sensor calculate the room temperature and control the room light and fan/AC. We have demonstrated up to 30 m of range to control the home application. This system has some home security process, main door ask the password user told the correct password then door is open, if user told the wrong password then this system take the photo and send the database. The paper also analyzes how Deep learning can be used for classifying the home automation data.

Keywords: Voice controller; Home automation; Arduino; PIR; LDR; TMRPCM; Relay; SOPO (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_164

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DOI: 10.1007/978-3-030-41862-5_164

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