Affiliation:
1. ME Industrial Safety Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Abstract
In India major road accident is based on potholes. To identify this potholes and humps in roads may reduces the road accident and also reduces the damages in cars and bike. To identify the holes and humps or speed breakers, the ultra sonic sensor, display board and buzzer also used in it. Project is mainly used in the prototype model of the vehicle which has the capable to find holes and humps in the road. When the vehicle identify the holes and hump it started showing the distance of obstacles, once the distance of obstacles reduced to 10m range the buzzer gives the alarm signals to drives that obstacles is near to vehicle so that they can reduces the speed of the vehicle and go slow through the obstacles or they can change the path. The display board given near the dash board that drivers can easily view the board and buzzer is given inside the vehicles and ultrasonic sensors given in the front of the bumper so it act efficiently. Here the arduino board is used for the power supply and programs, so this project reduces the accident occurs in the road due to holes and humps.
Publisher
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Subject
Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science
Reference11 articles.
1. Carullo, Alessio, and Marco Parvis. "An ultrasonic sensor for distance measurement in automotive applications." IEEE Sensors journal 1.2 (2001): 143.
2. Hanif, Hadistian Muhammad, et al. "Pothole detection system design with proximity sensor to provide motorcycle with warning system and increase road safety driving." IOP Conference Series: Earth and Environmental Science. Vol. 426. No. 1. IOP Publishing, 2020.
3. Jo, Youngtae, and Seungki Ryu. "Pothole detection system using a black-box camera." Sensors 15.11 (2015): 29316-29331.
4. 4.. Kim, Taehyeong, and Seung-Ki Ryu. "Review and analysis of pothole detection methods." Journal of Emerging Trends in Computing and Information Sciences 5.8 (2014): 603-608.
5. Koch, Christian, and Ioannis Brilakis. "Pothole detection in asphalt pavement images." Advanced Engineering Informatics 25.3 (2011): 507-515.