The service will be able to (1) automatically filter out most (if not all) unwanted pictures from camera traps and (2) propose the species name. The idea is to create a Graphical User Interface that allows users to view the proposed species name. If they accept the suggested classification from the system, the picture is uploaded to any of the chosen biodiversity citizen observatories (iSpot, Artportalen, Natusfera, etc.) with the proposed identification name.
The goal is to provide users with applications to:
- Removing most images that are not useful (e.g. no animals present, near duplicates, false positives due to wind movement, etc.).
- Providing compressions and filtering modes.
- Providing automatic (possibly overlapping) regions of interest (ROIs), such as bounding boxes, for objects of interest (typically various animals).
Providing initial animal presence information: count, species presence/ID (when possible).
Innovation for citizen observatories:
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 just captured the movement of the background plants/trees due to the wind, not because an animal appears) and (2) have to label properly. This service will address such problems.
There is no similar service (a) for camera-trap systems (partial solutions exist) and (b) on the cloud.
IMAGE DATA REDUCTION, COMPRESSION, FILTERING, ROI ANALYSIS, CONTENT ANALYSIS, COUNTING ANIMALS, BACKGROUND PROCESSING
Papers, documents and other experiences about co-designed digital services are collected in the following Zotero group
Log meeting Co-designed process
Minutes for the meetings of the co-design process are available in the following document: Log meeting Co-design