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This paper will create a highly effective and feasible method for detecting animals and preventing accidents by utilizing an Arduino Uno microcontroller in conjunction with an ultrasonic sensor and processed by the YOLO model. Collisions between vehicles and animals provide a substantial risk to the safety of humans as well as the preservation of wildlife. Hence, it is imperative to implement a resilient system that can effectively identify animals on roadways and promptly notify drivers to avert collisions. The device being proposed utilizes an ultrasonic sensor to accurately measure distances and identify obstructions within a specific range located in front of a vehicle. The Arduino Uno analyzes the sensor data and initiates suitable actions according to predetermined thresholds. When an animal or obstruction is detected, the system initiates warning signals or alerts, promptly notifying drivers to take precautionary actions. The efficacy of the system will be assessed by means of both simulated and real-life scenarios through YOLO. The system’s functionality and usefulness will be validated by assessing performance indicators such as detection accuracy, reaction time, and dependability. The proposed technique yields a detection accuracy of 98.8% for animals and 99.8% for humans.

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Utilizing the Arduino Uno for Animal Identification and Collision Avoidance Through YOLO Model

  • 会议论文

  • 发表日期：

    2025年

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  • Mohammed Ali Shaik,
  • R. Ravikumar,
  • T. Sampath Kumar,
  • P. Praveen,
  • Masrath Parveen

摘要

This paper will create a highly effective and feasible method for detecting animals and preventing accidents by utilizing an Arduino Uno microcontroller in conjunction with an ultrasonic sensor and processed by the YOLO model. Collisions between vehicles and animals provide a substantial risk to the safety of humans as well as the preservation of wildlife. Hence, it is imperative to implement a resilient system that can effectively identify animals on roadways and promptly notify drivers to avert collisions. The device being proposed utilizes an ultrasonic sensor to accurately measure distances and identify obstructions within a specific range located in front of a vehicle. The Arduino Uno analyzes the sensor data and initiates suitable actions according to predetermined thresholds. When an animal or obstruction is detected, the system initiates warning signals or alerts, promptly notifying drivers to take precautionary actions. The efficacy of the system will be assessed by means of both simulated and real-life scenarios through YOLO. The system’s functionality and usefulness will be validated by assessing performance indicators such as detection accuracy, reaction time, and dependability. The proposed technique yields a detection accuracy of 98.8% for animals and 99.8% for humans.