FASTCAT-Cloud: upload and analyse all your nature videos and pictures on the FASTCAT-Cloud website: receive only information on relevant images and recordings of wildlife activity and quickly identify the species names with Artificial Intelligence (AI).

Service description

FASTCAT (Flexible Ai System for CAmera Traps)-Cloud is an open website service able to: 

(1) Automatically filter out most unwanted pictures and video streams, keeping images of animals. This saves you time as empty recordings or photos can be removed automatically.

(2) Integrate machine learning technology (a subset of AI – Artificial Intelligence) to automatically identify species, which means that you will see the suggested species names for each image.

(3) Provide you with the ability to obtain counts (number of species recorded or photographed), i.e. how many different species have been sighted this week, or how many times you have photographed a fox in the last 30 days.

(4) Eventually, this website service will connect with biodiversity citizen observatories. So, if you are a citizen scientist that uses a camera trap, you will be able to easily upload the picture to some platforms such as iSpot or SensorThingsAPI plus. The idea is to create a Graphical User Interface (GUI) that allows you to view the proposed species name. If you accept the suggested classification from the system, the picture is uploaded to any of the chosen biodiversity citizen observatories with the proposed identification name. 

Development & how it works

The website service integrates an AI model to decide which frames, both from images and videos, contain an animal. This means that it will remove most images that are not useful (e.g. no animals present, near duplicates, false positives due to wind movement, etc.). The camera trap uses bespoke AI to automatically identify species and allows the user to automatically update the number of species, both from videos and pictures. 

FASTCAT-Cloud is ready!

Innovation for the camera trap community

The main problem for camera trap users is that they get hundreds (or thousands) of pictures that they (1) have to filter (some of them were just triggered by the movement of plants/trees due to wind, not because an animal was present) and (2) have to label properly. This service will address these problems.

Questions & answers


Yes. You can select the specific species images/videos you want, and the system will send you only these.
In the standard formats: .jpg, .png, .mov, .mp4, etc. So, this shouldn’t be a problem!

Yes, the system can detect humans (as an animal class) and they can be removed or counted as such. However, we do not provide recognition of any other features (gender, etc.), just the label ‘human.’

Co-design highlights

People involved

Most of the attendees who answered the post-event survey would recommend the co-design session to a friend.

Most of the attendees who answered the post-event survey have learned useful information about how to apply co-design to citizen science.

Want to join the co-design community?

Interact and meet other professionals working in your field

You will be able to network with other professionals and projects.

Help boost the functionalities of citizen observatories

For example, improve species identification with artificial intelligence, data integration from various citizen science platforms, etc.

Be an active part of the open science movement

Cos4Cloud's technical services are open source and are intended to be adapted and improved by the community involved.

Learn about citizen science, technology, and co-design

Also, we will tell you how we have applied co-design feedback in developing the service at the end of the project.

Let's co-create and test FASTCAT-Cloud!