Wild Intelligence Lab - WIL

We are a non-profit organization quantifying wildlife reserves using state-of-the-art computer vision algorithms
We are developing scalable software tools that enable wildlife experts to automate the analysis of drone and satellite imagery with computer vision algorithms. Our software solutions help wildlife professionals to reduce costs while increasing the speed and accuracy of ecosystem quantification.

Land Classification – a Machine Learning Use Case

Inspired by the research done within the SAVMAP Project, we use machine learning models to classify the landcover into different soil, grass, and sand types. These data allow conservation professionals to accurately determine and predict the amount of food sources available to animals, as well as taking the right precautions to prevent severe animal population loss. In addition to the extraction of valuable data, the models are used to aid annotation for more complex deep learning techniques.

Animal Detection – a Deep Learning Use Case

Modern Instance Segmentation models such as Mask R-CNN allow the pixel-wise classification of objects in images. To apply those models to the high-resolution drone images, we explore the use of different architectures and inspect their performance. The model output will allow detection of animals, vegetation, and even aardvark holes. In addition to the classification, the detection also enables the extraction of key data such as the size of the animal or the area of a tree’s crown.

The latest from Wild Intelligence Lab

Our Partners

Kuzikus is a privately owned nature reserve on the edge of the Kalahari desert, recognized by the State of Namibia. As a family business, it is committed to the conservation of natural biodiversity for over 40 years. In doing so, Kuzikus directly links individual tourism, education and science with nature and species conservation projects. Wild Intelligence Lab is developing its software in immediate collaboration with the Kuzikus nature reserve.
LiveEO uses satellite imagery to provide innovative infrastructure monitoring in the verticals railway, electricity and pipelines and empowers the operators to save in operational expenses by observing dangers from vegetation, height changes and third-party interactions along the network. The Co-CEO Daniel Seidel is part of our advisory board and complements our field drone and satellite imagery analysis.
SAVMAP is an innovative, inter-disciplinary initiative whose goal is to develop a monitoring tool for both sustainable land-use management and rare species conservation (black rhinoceros) in semi-arid savanna in Namibia. SAVMAP uses near real-time ultrahigh-resolution imaging (NURI) facilitated by unmanned aerial vehicles (UAVs) designed at EPFL.

Drone Adventures is a non-profit organization which was founded in Switzerland in 2013. It flies drone missions throughout the world, connecting people who know drones best with people who need them the most. Drone Adventures’ goal is to demonstrate and promote the great potential of drones to protect our planet and support local communities.

The Machine Intelligence in Clinical Neuroscience (MICN) Lab is affiliated with the Department of Neurosurgery and the Clinical Neuroscience Center of the University Hospital Zurich. The laboratory studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group of the MICN focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. These algorithms provide patients with objective information that may aid in risk-benefit discussion, help prevent adverse events, improve outcome, and patient safety overall. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.
TechLabs Aachen is one of the leading non-profit educational initiatives in Aachen in the field of programming in Data Science, Artificial Intelligence and Web Development. Since its founding in 2020, more than 200 techies have successfully completed the innovative educational program consisting of personalized learning units, relevant & supervised project tasks and diverse community events. Wild Intelligence Lab has been involved as a partner of TechLabs since its foundation in a variety of exciting & diverse project tasks that the participants worked on and provides high-quality mentorship.
Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia provides an application programming interface (API) called CUDA that allows the creation of massively parallel programs which utilize GPUs. Nvidia GPUs are used in deep learning, and accelerated analytics due to Nvidia’s API CUDA which allows programmers to utilize the higher number of cores present in GPUs to parallelize BLAS operations which are extensively used in machine learning algorithms.