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We investigate the design and implementation of Where's The Bear (WTB), an end-to-end, distributed, IoT system for wildlife monitoring. WTB implements a multi-tier (cloud, edge, sensing) system that integrates recent advances in machine learning based image processing to automatically classify animals in images from remote, motion-triggered camera traps. We use non-local, resource-rich, public/private cloud systems to train the machine learning models, and "in-the-field," resource-constrained edge systems to perform classification near the IoT sensing devices (cameras).
Elias et al. (2017) studied this question.