Automatic Vehicle Turn Indicator using Speech Recognition
Akshay Divakar1, Sitaraa Krishnakumar2, J Caroline El Florenza3
1Akshay Divakar, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram (Chennai), India.
2Sitaraa Krishnakumar, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram (Chennai), India.
3J Caroline El Florenza, Assistant Professor, Department of Computer Science, SRM Institute of Science and Technology, Ramapuram (Chennai), India.
Manuscript received on 03 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 6697-6700 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5845098319/2019©BEIESP | DOI: 10.35940/ijrte.C5845.098319
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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: Voice-controlled innovation is an energizing region of research that is utilized to help people in the mechanical control of manual frameworks. It is a part of human-communication that builds the advances in programmed discourse acknowledgment or ASR with the inventive advances of characteristic language handling or NLP. Wise frameworks, for example, Automatic Vehicle Signaling Systems, can likewise take into consideration adaptability in manual activities. In late investigations, analysts have investigated regular language control of manual tasks. In this paper we will research interfacing voice control activities with Arduino-based equipment stages that are utilized to structure the programmed sign highlights in a vehicle. The control system includes a voice recognition circuit for activating turn signal devices within the vehicle. The voice recognition circuit takes in input from the voice from the Google maps voice assistant. In some formats, a wireless hardware is provided while in other embodiments original equipment manufacture is accommodated.
Keywords: Vehicle, Indicator, Automatic.
Scope of the Article: Pattern Recognition