Publication Date: 2023/11/01
Abstract: This research paper presents a mobile application-based solution for real-time road safety aimed at mitigating animal-vehicle conflicts in Sri Lanka. The proposed system is developed in response to the increasing incidents of animal-vehicle collisions, which pose significant risks to both human safety and wildlife conservation efforts. By combining knowledge- based case studies and crowd-sourcing techniques, the application aims to identify animal habitats and behaviors based on user location, enabling drivers to take proactive measures to prevent such accidents. Image processing is used to identify objects using YOLOv7 technology. Ultrasonic sensors, a microcontroller, the Doppler Effect, and relative velocity calculations are used to segment the signal-to-noise ratio and alert the driver of any nearby animals. The research also provides guidelines for implementing methods to reduce animal-vehicle collisions and raises awareness among the public regarding the importance of road safety in wildlife-rich areas. Upon detection of the animal, the system emits an anti-frequency range tailored to specific species, effectively deterring them from approaching the vehicle. Through the mobile application, users can access real-time alerts, receive feedback from others, and contribute to a collective effort in ensuring safer roads for both humans and animals.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.10061027
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23OCT1283.pdf
REFERENCES