Research and Design Voice Control Camera using Raspberry PI
V. Janani1, R. Puviarasi2, Mritha Ramalingam3, S. R. Boselin  Prabhu4

1V. Janani, Department of ECE, Saveetha Institute of Medical and Technical Sciences, Chennai, (Tamil Nadu), India.

2R. Puviaras, Department of ECE, Saveetha Institute of Medical and  Technical Sciences, Chennai, (Tamil Nadu), India.

3Mritha Ramalingam, Faculty of Computer Systems & Software Engineering Universiti Malaysia Pahang Gambang, Malaysia, India.

4Dr. S. R. Boselin Prabhu, Associate Professor, Department of Electronics and Communication Engineering, Surya Engineering College,  Mettukadai,  India.

Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 361-363 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10780789S219/19©BEIESP DOI: 10.35940/ijitee.I1078.0789S219

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Today we are building a valuable venture in which we can control the LED lights utilizing our voice through Smart Phone. In this undertaking, we will send voice directions from Smart Phone to Raspberry Pi utilizing Bluetooth Module and Raspberry Pi will get that transmitted flag remotely and will perform separate assignment over the equipment. We can supplant the LEDs with the AC home machines utilizing transfers and can fabricate a Voice Controlled Home Automation Project. This paper basically worried about the programmed voice control of light or some other home machines. It is utilized to spare the electric power and human vitality. This task is made with assistance of Raspberry Pi 3 and Relay driver circuit. The different machines are associated with the transfer circuit and the mouthpiece associated with Raspberry Pi 3. After fruitful acknowledgment of voice direction the Raspberry Pi 3 drives the comparing machines. Voice acknowledgment is created by utilizing Google API’s.

Keywords: IOT, Motor Drive, Raspberry pi, Camera, Bylnk App, Power Supply.
Scope of the Article: Waveform Optimization for Wireless Power Transfer