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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Bluauto Self Driving Car Based On Voice |
| Authors Name: | Trupti N Peshkar , Sachin Kadli , Veeresh , Suvarna Nandyal |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204327
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| Published Paper Id: | IJRTI2506056 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | The Bluauto project resides within the Internet of Things (IoT) ecosystem, focusing on the development of an intelligent, voice-operated self-driving car. At its core, Bluauto strategically integrates several IoT components, including various sensors for environmental awareness, a Bluetooth communication module for wireless interaction, and a central microcontroller unit. This integration facilitates seamless user interaction through a dedicated Android application. Cars have come a long way over the years, evolving from fully manual machines to smart, voice-controlled vehicles. In the beginning, driving was a hands-on task—drivers had to steer, shift gears, and manage everything manually, which took a lot of skill and effort. As time passed, features like automatic transmissions and power steering made driving much simpler and more comfortable. With the rise of digital technology, cars became smarter. Sensors, cameras, and onboard computers introduced helpful tools like cruise control, lane assist, and emergency braking. These advancements set the stage for driverless cars, which use AI and real-time data to drive themselves with little to no input from a human. Today, voice control has added a whole new level of convenience. Drivers can now give spoken commands to control navigation, all without taking their hands off the wheel. This journey from manual control to voice-activated, self-driving cars shows how far the automotive world has progressed, making driving safer, easier, and more intuitive than ever before A voice-controlled Arduino-based robotic car that can navigate using spoken commands and avoid obstacles intelligently. The system integrates key components like the Arduino Uno, HC-05 Bluetooth module, L293D motor driver, and HC-SR04 ultrasonic sensor to achieve hands-free control and safety during movement. A smart car system is developed that receives voice commands from a mobile app, processes those commands using an Arduino, and performs appropriate motor actions such as moving forward, backward, turning left or right, or stopping. In addition, the car includes an obstacle detection mechanism that uses an ultrasonic sensor to ensure safe navigation. A mobile app captures voice commands, converts them into text, and sends them via Bluetooth (HC-05) to the Arduino Uno, which interprets these commands to generate signals controlling the L293D motor driver and driving the car’s DC motors. The HC-05 module receives Bluetooth signals and communicates with the Arduino through serial communication. Commands such as “Forward” and “Backward” make both motors move accordingly, while “Left” and “Right” cause the motors to spin in opposite directions for turning, and “Stop” halts the motors. Simultaneously, the HC-SR04 ultrasonic sensor continuously measures the distance ahead, enabling the Arduino to detect obstacles and either stop the car or adjust movements to avoid collisions, thus integrating voice control with real-time obstacle avoidance for an interactive robotic vehicle. The efficiency of four voice commands—Left, Right, Forward, and Backward—used to control an Arduino-based voice-controlled car over 100 test cases each. The "Forward" command had the highest efficiency at 92%, followed by "Left" at 90%. Both "Right" and "Backward" commands achieved 88% efficiency. These results indicate that all commands performed well, with accuracy above 85%, though occasional failures suggest room for improvement in voice recognition and hardware response. Factors such as background noise, pronunciation clarity, and communication delays may have contributed to the variations in performance. The future scope of this Arduino-based voice-controlled car includes enhancing the voice recognition system by integrating more advanced algorithms such as machine learning to improve accuracy and reduce errors caused by background noise or unclear pronunciation. Expanding the range of voice commands could enable more complex functionalities, like autonomous navigation. Additionally, incorporating other sensors such as GPS or cameras can improve obstacle detection and allow for smarter path planning. Upgrading the communication module to faster or more reliable wireless technologies could reduce latency and increase responsiveness. Overall, these improvements would make the system more versatile, efficient, and suitable for practical applications in robotics and automation. |
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| Cite Article: | "Bluauto Self Driving Car Based On Voice", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a489-a511, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506056.pdf |
| Downloads: | 000444 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2506056
Registration ID:204327
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a489-a511 Country: KALABURAGI, KARNATAKA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506056 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506056 |
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ISSN: 2456-3315
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