AI-Powered Wildlife Classification
We’re developing a wildlife monitoring system that is able to capture bio-photonic signals, detect them over significant distances, and automatically classify them through Machine Learning.
We’re developing a wildlife monitoring system that is able to capture bio-photonic signals, detect them over significant distances, and automatically classify them through Machine Learning.
Our system is composed of a network of autonomous detectors sending data remotely to a database.
We’ve developed a detector that enables us to remotely classify unique information from animal eyes. We’re also using Machine Learning technology to build a model and classify collected data.
Current monitoring techniques are labour-intensive, subjective and unreliable. Further, current approaches do not reflect data across a systematic level.
Looking for a systematic and automated approach to wildlife monitoring? Curious to learn more? Or interested and you want to support our research and development? Talk to us.