EmberEye provides an ultra-early wildfire detection system, enabling rapid response and effective decision-making from first responders. Our solution creates a novel digital twin of the land informing the placement of our robust infrared detectors near areas of high ignition risk.
Founding team
Enrico Miraglia Del Giudice
Enrico is an electronics engineer with Meng in Robotics from the University of Manchester.
He has worked in Cambridge for the past 6 years designing a variety of consumer, medical and safety products.
He has experience working with low-power devices, wireless technologies and recently infra-red sensing which culminates in the creation of EmberEye.
Kyle Nisbet
Kyle has a background in remote sensing, specialising in environmental applications. At UC Berkeley, he led projects developing wildfire detection systems using machine learning and satellite imagery analysis. His work included processing Landsat data and creating a Satellite Imagery Novelty Change Detection system.
He has extensive experience in using remote sensing technologies for environmental monitoring and conservation, with a focus on innovative technological solutions.
His background combines technical expertise and practical application, preparing him to contribute effectively to cutting-edge environmental technology projects.