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FASTCAT-Edge: build your own smart camera trap

Authors: Ángela Justamante; Frederic Fol Leymarie; Stefan Rueger; Kai Waddington; Miklas Riechmann; Ryan Rueger; Ross Gardiner; +4 Authors

FASTCAT-Edge: build your own smart camera trap

Abstract

FASTCAT (Flexible AI SysTem for CAmera Traps)-Edge allows you to assemble an AI camera trap that: (1) Automatically filters out most unwanted pictures and video streams, keeping images of animals. This saves you time as you don’t have to delete empty recordings or photos. (2) The camera trap uses bespoke Artificial Intelligence (AI) to automatically identify whether a scene contains an animal or a human, ie, this allows you to only keep animal scenes. (3) Eventually, this service will connect with biodiversity citizen observatories. So, if you are a citizen scientist who uses a camera trap, you will be able to easily upload the picture to some platforms such as iSpot, Artportalen or Natusfera. More information: https://cos4cloud-eosc.eu/services/fastcat-edge-camera-trap/ FASTCAT-Edge has been developed by DynAikon in the Cos4Cloud framework. Infographic's designer: Lucas Wainer.

Related Organizations
Keywords

camera trap, AI, citizen science, do-it-yourself, artificial intelligence, biodiversity

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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