Dr. W. Deva Priya
@saveethaengineering.com
Professor
Saveetha School of Engineering , SIMATs University
RESEARCH INTERESTS
ADAS, Image Processing,
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Shruti Garg, Sudhir Sharma, Sumit Dhariwal, W. Deva Priya, Mangal Singh, and S. Ramesh
Springer Science and Business Media LLC
M. Sudha, V Mahesh Kumar Reddy, W. Deva Priya, Shaik Mohammad Rafi, Sharmila Subudhi, and S. Jayachitra
Elsevier BV
W. Deva Priya, S. Yuvaraj, V. Sujatha, and R. Thanga Selvi
IEEE
This study proposes a real-time vehicle speed monitoring and alert system using Internet of Things (IoT) technology to reduce highway accidents. Drivers are informed about the vehicle's speed in real-time and alerted if any risk is identified. It uses a microcontroller, IR speed sensor, LCD, and buzzer to inform drivers about their vehicle's speed, enabling safer driving. The system's micro controller collects and analyzes the IR speed sensor data. The IR speed sensor records vehicle speed at regular intervals. It sends accurate and consistent speed values to the micro controller. The micro controller analyzes speed data and compares it to speed limitations. The micro controller activates the alarm mechanism if the vehicle exceeds the speed threshold. The buzzer and LCD alert users. A warning message appears on the LCD if the vehicle exceeds the speed limit. The sound simultaneously alerts the driver. Real-time speed feedback and notifications encourage drivers to observe speed limits and drive safely. This proactive method makes to reduce speed-related accidents and stimulates safer driving.
W. Devapriya, C. Nelson Kennedy Babu, and T. Srihari
IEEE
Nowadays the number of vehicle users increasing day by day, so the vehicle manufacture trying to develop higher end vehicle that reduce the complexity during driving. Advance Driver Assists Sytsem is one of such type that provide alert, warning and information during driving. In our proposed method Gaussian filtering, median filtering and connected component analysis are used to detect speed bump. This system go well with the roads that are constructed with proper painting. Several existing method need special hardware, sensors, accelerometer and GPS for detecting speed bump.
W. Devapriya, C. Nelson Kennedy Babu, and T. Srihari
IEEE
In Intelligent Transportation System, Advance Driver Assistance Systems (ADAS) plays a vital role. In ADAS, many research works are done in the area of traffic sign recognition, Forward Collision Warning, Automotive navigation system, Lane departure warning system but an another important area to look through is speed bumps detection. The recognition of speed bump is a safety to a human and a vehicle. Early research in speed bump detection is done with the help of sensors, accelerometer and GPS. In this paper, a novel method is presented to achieve speed bump detection and recognition either to alert or to interact directly with the vehicle. Detection of speed bump is recognized with a help of image processing concepts. This methodology is effortless and simple to implement without the investment of special sensors, hardware, Smartphone and GPS. This procedure suits very well for the roads constructed with proper marking, and can be used in self-driving car.