Smart Parks is always looking for the state-of-the-art in technology and the possible applications for Wildlife protection. The concept of Machine Learning is a very fast evolving space with many new technologies that can be used. We will use this page to list the projects and concepts where we use Machine Learning and provide more resources for exploring the concept.
Within the OpenCollar Edge we want to make Machine Learning run on the Edge devices. First concepts where developed during the ElephantEdge campaign with Hackster.io and other partners. More exploratory work is done using Edge Impulse.
Within the xGWild project we are experimenting with adding real-time AI to utilize Connected Wildlife Camera Traps.
The OpenMV was used in 2018 to run image classification directly on the OpenMV M7 Camera and send the detection outcome to the Internet using LoRaWAN. Making this a very low power and cheap combination, it shows the power of combining new technologies. We can now see this approach back in many new technology solutions for conservation.
In 2019 we have started to deploy network connected acoustic sensors in Akagera National Park in Rwanda. With this projects we have identified the possibility of using connected acoustic sensors in the protection of wildlife.