An advanced multi-sensor system using machine learning to detect and neutralize crawling insects with over 95% accuracy. The system supports diverse applications including agriculture pest control and conservation. Seeking partners for final development and deployment.
The market-ready embedded multi-sensor system is a cutting-edge technology that utilizes machine learning to accurately detect and neutralize crawling insects. With a detection accuracy exceeding 95%, this system is versatile, capable of identifying a wide range of organisms, including animals and plants. The technology has been successfully applied in diverse environments, such as agricultural fields and conservation projects, showcasing its broad applicability and effectiveness.
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The system is currently at Technology Readiness Level 5, having been validated in relevant environments. Future development includes the creation of a dedicated machine learning model for crawling insects and the design of a secondary device to neutralize detected organisms. The project aims to complete these advancements within 9 months, contingent on securing necessary funding for personnel and resources.
Georg‑August‑Universität Göttingen is a comprehensive public research university in Lower Saxony with broad academic breadth and a major university medical center. Through the Göttingen Campus alliance, the university is co‑located with Max Planck and Leibniz institutes, supported by a shared research data center that links campus partners and services. Clinical translation is enabled by the University Medical Center Göttingen, while proximity to leading life‑science and precision‑measurement companies in the region supports applied collaboration and talent pipelines. The university’s research is supported by competitive funding from the German Research Foundation, federal ministries, and European programmes. Technology transfer is provided by MBM ScienceBridge, a wholly owned subsidiary that manages IP, licensing, and startup support.