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  Published Paper Details:

  Paper Title

ANIMAL DETECTION IN TRAFFIC USING YOLO ALGORITHM ON RASPBERRY PI

  Authors

  Dr.Shobha S,  Prathamesh More,  Saniya R,  Prajwal,  Rakshitha S

  Keywords

Raspberry PI, YOLO, Animal Detection, Deep Learning

  Abstract


This project aims to develop an animal detection system for traffic monitoring using the YOLO (You Only Look Once) algorithm deployed on a Raspberry Pi. The system utilizes a pre-trained YOLO model to detect animals in real-time video streams captured by a camera module or USB webcam connected to the Raspberry Pi. Through a series of steps including setting up the Raspberry Pi, installing dependencies, configuring YOLO, writing detection code, optimizing for the Raspberry Pi's limited computational resources, and testing in controlled and real-world environments, the project aims to create an efficient and accurate solution for detecting animals in traffic scenarios. The system's implementation considers ethical implications, robustness against varying conditions, and documentation for future reference and dissemination.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAB02179

  Paper ID - 260022

  Page Number(s) - 1174-1180

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.Shobha S,  Prathamesh More,  Saniya R,  Prajwal,  Rakshitha S,   "ANIMAL DETECTION IN TRAFFIC USING YOLO ALGORITHM ON RASPBERRY PI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.1174-1180, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAB02179.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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