An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

Camera traps deployed in remote locations provide an effective method for ecologists to monitor and study wildlife in a non-invasive way. However, current camera traps suffer from two problems. First, the images are manually classified and counted, which is expensive. Second, due to manual coding, t...

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Bibliographic Details
Main Author: Zaulkernan, Imran (author)
Other Authors: Dhou, Salam (author), Judas, Jacky (author), Sajun, Ali Reza (author), Gomez, Brylle Ryan (author), Hussain, Lana Alhaj (author)
Format: article
Published: 2022
Subjects:
Deep learning
Animal classification
Image classification
Internet of Things
Image processing
Edge computing
Animal surveillance
Wildlife monitoring
Online Access:https://hdl.handle.net/11073/33268
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https://hdl.handle.net/11073/33268

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