Wildlife camera traps are an important data collection instrument for conservationists.

Their applications are manifold, including the detection of the presence of (rare) species, identification of species, estimation of population sizes, and the early detection of human-wildlife conflicts and the subsequent initiation of preventive action. 

The breakthrough of Artificial Intelligence (AI) has led to a myriad of solutions to identify and count species. However, from a practitioner’s perspective, it is not always easy to find a solution that meets their specific needs. 

In this webinar, we provided an overview of known solutions, their strengths and weaknesses and structure the most important criteria. The outcome is a decision tree that helps practitioners to articulate their needs and guide them through the ever-growing number of camera-trap solutions.

Webinar agenda

• Biodiversity monitoring innovations

• 5 maturity levels of data-driven nature conservation

• What are the main components of camera traps?

• Classifiers

• Usage

• Storage and processing

• Analytics

• Decision tree to help you make an informed decision

Speaker: Jan-Kees Schakel (PhD) founded Sensing Clues and advises on intelligence for the protection of wildlife.

Watch the recording of our webinar and access the presented slides by clicking the link below!