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Research Article

Ambulance Blocking Vehicles Identification by Artificial Intelligence

G. Venkateshwari1 S. Gopi Krishna2 CP. Gurudeep3 N. Syed Zain N4 J. Vignesh5
1Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India. 2345 Department of Information Technology, Er. Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu, India.

Published Online: May-August 2024

Pages: 123-126

References

1. Becker, L. R., Zaloshnja, E., Levick, N., Li, G., & Miller, T. R. (2020). The relative risk of injury and death in ambulances and other emergency
vehicles. Accident Analysis & Prevention.
2. Liaw, J. J., Wang, W. S., Chu, H. C., Huang, M. S., & Lu, C. P. (2021, October). Recognition of the ambulance siren sound in Taiwan by the
longest common subsequence.
3. Fatimah, B., Preethi, A., Hrushikesh, V., Singh, A., & Kotion, H. R. (2020, July). An automatic siren detection algorithm using Fourier
Decomposition Method and MFCC 2020, IEEE.4. Ergonomics-Danger Signals Are Further Subdivided and Work Areas Auditory Danger Signals, Standard 7731, International Organization
for Standardization, 2019.
5. F. Beritelli, S. Casale, A. Russo, and S. Serrano, ‘‘An automatic emergency signal recognition system for the hearing impaired,’’ in Proc.
IEEE 12th Digit. Signal Process. Workshop, 4th IEEE Signal Process. Educ. Workshop, Sep. 2020.
6. G. Suciu, A. Vintea, S. C. Arseni, C. Butca, and V. Suciu, “Challenges and Solutions for Advanced Sensing of Water Infrastructures in
Urban Environments,” pp. 349–352, 2021.
7. NiteenMohod, “Usability of Internet of Things [IoT] For Dam Safety and Water Management”, International Journal of Research in Advent
Technology, Vo.5, No.1, January 2020.
8. A.C. Khetre, S.G. Hate, “Automatic monitoring & Reporting of water quality by using WSN Technology and different routing methods”,
IJARCET Vol 2, Issue 12, Dec 2018, pp 3255- 3260.

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