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An Effective Stray Animal Detection and Crash Prevention System using Deep Learning and Internet of Things.

Authors :
Sutar, Vinayak
Kulhalli, Kshama
Source :
Grenze International Journal of Engineering & Technology (GIJET); Jan Part 1, Vol. 10 Issue 1, p879-889, 11p
Publication Year :
2024

Abstract

Road crossing or at road side stray animals like cows and buffalos are usually observed in India. Such animals creates critical situations on roadways due to the collision. According to data obtained from the veterinary department of Nagpur municipal corporation approximately 3,127 cattle were injured and at least 30% of them died immediately and after a few days of hospitalization. This paper showcase a solar powered deep learning and IoT enabled early warning system which could detect the stray animals and send an alerts to the vehicles on road. The IoT cloud platform and dashboard delivers the information of accident prone zone. The trained stray animal detection model in the present system could predict 86% to 90% true positive results with 91% accuracy on real world camera feed. The 433 Mhz RF transmitter in the system is capable to send alert up to 110m. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23955287
Volume :
10
Issue :
1
Database :
Complementary Index
Journal :
Grenze International Journal of Engineering & Technology (GIJET)
Publication Type :
Academic Journal
Accession number :
175658191