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.
Expected Impact
1.Technological Impact on biodiversity monitoring: Achieves a new standard in high-accuracy, non-invasive, labour-less analysis of pollinators abundance and activity using Doppler radars.
2.Industrial Impact on Green Energy: Empowers the green energy sector with a real-time, scalable monitoring solution to provide environmental impact assessments and validate sustainability goals at sensitive ecosystems like wind farms.
3.Commercial Impact: Aligns with growing IoT and environmental tech markets, addressing commercial needs and opening pathways for technology adoption and commercialization.
