Quantum + classical algorithms
Hybrid architectures can use classical and quantum resources together, with algorithms directing decisions, data analysis and physical systems.
DeTection Inc. develops hybrid quantum and classical algorithm systems designed to direct automated robots and drones, combining autonomous physical procedures with rapid matter detection technologies.
The platform is designed around hybrid quantum and classical computing methods that can support self-directed automated drones and robots. In medical applications, the goal is to combine robotic procedures with fast detection of abnormal cells and other target matter using UMMDA technology.
Hybrid architectures can use classical and quantum resources together, with algorithms directing decisions, data analysis and physical systems.
Mobile platforms can be used for sensing, inspection, material collection, monitoring and selected automated procedures.
UMMDA provides the matter-detection component for identifying targeted substances, microorganisms and abnormal cells in applicable environments.
DeTection Inc. couples its autonomous robotics concepts with patent-pending UMMDA technology for detection of matter and microorganisms. UMMDA is intended for applications spanning medical, residential, commercial, industrial and environmental settings.
Explore the dedicated UMMDA website for the matter-detection platform and its applications.
Referenced application family: USPTO 18/141,374 and PCT/US2023/020501.
The technology is being developed for automated detection and selected robotic applications across multiple environments. Specific implementations depend on the target matter, sensing method, robotic platform and regulatory requirements.
Selected automated medical applications combining robotic procedures with rapid detection of abnormal cells and other target matter.
Automated detection concepts for toxic or unwanted matter in indoor residential and commercial environments.
Robotic and drone-based monitoring concepts for agricultural, greenhouse and farming environments.
Automated detection and monitoring concepts for food-processing environments where rapid identification of targeted matter may be useful.
Mobile robotic and drone systems for monitoring water, air, surfaces and other environmental conditions.
Potential field-of-use licensing for municipalities, educational institutions and other organizations seeking automated robotic detection solutions.
DeTection Inc. is open to licensing discussions for countries, territories, educational institutions and municipalities for automated robotic matter detection and selected automated medical applications. Rights, exclusivity, field of use, territory and commercialization terms are subject to a definitive written agreement.
U.S. Patent Application 19/532,226 covers self-directed robotic systems and methods for autonomous physical procedures in medical, dental, cosmetic, dermatology, ophthalmology and veterinary applications. The filed claims describe systems using robotic apparatuses, archived and real-time procedure data, trained models, autonomous control, and in some embodiments quantum-computing components.
Related international application: PCT/US2026/014456.
U.S. application 18/141,374 and international application PCT/US2023/020501. Learn more at UMMDA.ai ↗.
For worldwide licensing, technology collaboration, research, educational or municipal inquiries, contact DeTection Inc.