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Description / Abstract
Conservation efforts of large mammal species in Costa Rica rely on extensive camera tracking networks to record these species’ presence, activity, and interactions. By using transfer learning on an edge device to retrain a Convolutional Neural Network the process of tracking and identifying these mammals will be streamlined. Transfer learning on edge devices was found to be effective in retraining and deploying CNN image classifiers.
Arete: The PLNU Honors Journal
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Keywordsconservation, tracking, edge, image, classifiers, identification, convolutional, neural, networks, Arete the PLNU Honors Journal
Degree AwardedB.S. in Engineering-Physics: Mechanics
Awarding InstitutionPoint Loma Nazarene University
Supervisor or ChairRyan Botts
Peer Reviewed?No
Collections With This Resource
PLNU Undergraduate Honors Projects 2016-2020
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