Tagging of images with the names of animals appearing in them and generation of summary data can be performed by CamTrap Pro. CamTrap Pro can process data from multiple cameras individually.
Camera Traps
Camera traps can collect huge numbers of images (and videos) in the course of wildlife studies, but these collections need to be analysed in order to present conclusions. The analysis process consists of identifying the species of animal present and sometimes the number of them. Most camera traps operate using passive infra-red sensors (similar to those used in burglar alarms) which trigger a recording when there is a change in the balance of infra-red radiation between two sensor, with an infra-red flash used at night. Changes may be caused by the presence of an animal, or by movement of the camera, vegetation or shadows, and these non-animal triggerings frequently predominate.
With data collection sizes often numbering tens of thousands of images, human capabilities are often limited by fatigue and lack of dedicated computer tools. CamTrap Pro allows Windows tags (or keywords) to be added to image identifying animals shown. AI detection of animals is supported using output from the Megadetector classifier via the EcoAssist application. CamTrap Pro also supports visual inspection of multiple sequences of camera trap images as a slideshow which can be stopped at any point, and tags applied to the image from a preset list to indicate the species of animals present. Tagged data can also be imported from other programs (such as ExifPro). This data can then be summarised in text form for inclusion in a report. The video below shows the process of licensing, loading data and preset tag strings, and manually applying tags to groups of images
This video shows how classifier output can be used to generate tags directly and view them as a summary:
If you’d like to read the CamTrap Pro manual click here.
If you’d like to download CamTrap Pro click here. Downloads come with a free 30-day Demo license which includes application of 25 tags and loading of up to 20,000 images.