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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| 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: | |
| Online Access: | https://hdl.handle.net/11073/33268 |
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