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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63234
Volume:
10 |
5 |
May 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Mechanical engineering
Tulsiramji Gaikwad Patil Collage of Engineering and Technology
Mechanical engineering
Tulsiramji Gaikwad Patil Collage of Engineering and Technology
Mechanical engineering
Tulsiramji Gaikwad Patil Collage of Engineering and Technology
Mechanical engineering
Tulsiramji Gaikwad Patil Collage of Engineering and Technology
Road safety and vehicle automation are critical areas of focus in modern engineering. This project presents the development of a small-scale prototype of an Design and Fabrication of an Automatic Breaking System Using Ultrasonic Sensors , designed to detect and respond to obstacles in its path using low-cost sensors and microcontroller-based logic. The system utilizes two ultrasonic sensors positioned at the front of the vehicle to continuously monitor the surroundings and measure the distance of approaching obstacles. When an object is detected within a predefined safe distance, the system automatically stops the vehicle using the L293D motor driver, simulating an auto-braking mechanism. Additionally, a buzzer is activated to provide an audible warning to indicate the presence of an obstacle. The core of the system is controlled by an Arduino Uno, which processes sensor data and makes real-time movement decisions. This prototype demonstrates how basic embedded systems and sensors can be integrated to create a functional, cost-effective safety feature, highlighting its potential application in smart vehicles and autonomous navigation systems.
KEYWORDS
This project focused on designing and implementing an Obstacle Avoidance and Auto Braking System Vehicle utilizing two ultrasonic sensors, a buzzer, an L293D motor driver, and an Arduino microcontroller. The primary goal was to enable the robot to autonomously detect obstacles and take appropriate actions such as turning away or stopping with an audible alert to prevent collisions. Throughout the project, we successfully integrated hardware components and developed control algorithms that allowed the robot to: · Continuously sense its environment using ultrasonic sensors, · Process sensor data in real-time with the Arduino, · Control motor directions via the L293D driver for movement and turning, · Activate a buzzer to alert when obstacles are dangerously close. This hands-on experience provided valuable insights into the principles of sensor-based navigation, motor control, and embedded programming. We learned how to interpret sensor data, implement conditional logic for decision-making, and manage power and connectivity among components. The project was effective in demonstrating a basic yet functional model of autonomous obstacle avoidance and braking. It highlights the potential for using low-cost sensors and simple control logic to develop intelligent robotic behaviors. However, we also identified limitations such as restricted sensing angles and the absence of advanced navigation features, which can be addressed in future work. Overall, this project serves as a foundational step toward more sophisticated autonomous systems and deepens understanding of robotics concepts that are applicable across industrial, commercial, and research domains.
[1] J. J. Craig, Introduction to Robotics: Mechanics and Control, 3rd ed. Pearson, 2004. [2] B. Siciliano and O. Khatib, Springer Handbook of Robotics. Springer, 2016. [3] A. Niku, Introduction to Robotics: Analysis, Control, Applications, 2nd ed. Wiley, 2010. [4] R. C. Dorf and R. H. Bishop, Modern Control Systems, 13th ed. Pearson, 2016. [5] P. Corke, Robotics, Vision and Control: Fundamental Algorithms in MATLAB, 2nd ed. Springer, 2017. [6] Arduino, “Arduino Uno Rev3,” [Online]. Available: https://store.arduino.cc/usa/arduino-uno-rev3 [7] HC-SR04 Ultrasonic Sensor Datasheet, “HC-SR04 User Manual,” Elecfreaks, 2019. [Online]. Available: https://www.elecfreaks.com/wiki/index.php?title=Ultrasonic_Sensor_(HC-SR04) [8] Texas Instruments, “L293D Motor Driver IC Datasheet,” 2015. [Online]. Available: https://www.ti.com/lit/ds/symlink/l293.pdf [9] S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics. MIT Press, 2005. [10] R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, Introduction to Autonomous Mobile Robots, 2nd ed. MIT Press, 2011.
Publication Date
5/15/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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