Wingsense

Wingsense introduces a revolutionary IoT platform, fusing low-cost, portable mm-Wave Doppler radar with advanced machine learning for real-time ecosystem monitoring. By deploying a synchronized network of these sensors, Wingsense creates a scalable eco-friendly monitoring solution.

Unlike traditional insect monitoring methods limited by invasiveness, low precision, or environmental noise, our system non-invasively identifies and analysis flying pollinators with high accuracy across wide areas. This technology significantly enhances biodiversity tracking and integrates seamlessly into large-scale environmental IoT monitoring systems.

For the Green Energy sector, Wingsense provides automated data for critical environmental impact assessments. For Agri-tech and farming, it offers vital insights into pollinator health and behaviour, enabling data-driven decisions for crop management and sustainability.

The key objectives for Wingsense are:

1.Develop a low-cost, portable mm-Wave Doppler radar unit for non-invasive pollinator monitoring adoptable to IoT networks.
2. Create advanced automated detection algorithms to accurately identify and analyse flying pollinators or beehives activity.

3.Deliver a scalable, real-time data platform for large-scale environmental monitoring applications.