Student Work

Automated Detection of Jackals and Foxes in the Arava Valley

Public Deposited

Contenu téléchargeable

open in viewer

Monitoring animal populations has been a long-standing challenge in wildlife ecology. One focus of the Arava-Dead Sea Science Center (ADSSC) is monitoring jackal and fox populations as agricultural zones expand. Researchers at the ADSSC use camera traps for ecological monitoring, and manually sort the images into categories. This process takes at least 12 hours of work per week. To reduce the workload of researchers at the ADSSC, their image sorting process was automated using machine learning and integrated into the current workflow. Over 90% accuracy in classifying “jackals”, “foxes”, “other”, and “empty” was achieved using our machine learning algorithm. A comprehensive user manual was created to allow researchers at the ADSSC and future users to utilize the software with ease.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
Subject
Publisher
Identifier
  • 89726
  • E-project-022723-081145
Advisor
Year
  • 2023
Center
Sponsor
UN Sustainable Development Goals
Date created
  • 2023-02-27
Resource type
Source
  • E-project-022723-081145
Rights statement
Dernière modification
  • 2023-06-08

Relations

Contenu

Articles

Permanent link to this page: https://digital.wpi.edu/show/ff3658442