International and Domestic Patents


As of November 1, 2022, the following is a list of United States Patent and Trademark Office “USPTO” and World International Patent Organization “WIPO” DE3 patent applications. Artificial Intelligence, Machine Learning, Software Technology, and Hardware Technology.



USPTO


  • Artificial intelligence application that identifies micro-organisms, matter, and contaminates from water sources
  • Parallel conveyor belts, direct wireless charging systems utilizing artificial intelligence and machine learning
  • Direct Wireless Charging Systems, power sources, power generation, and power supply for a surface and airborne micro-organism and matter identification system using drones and robots
  • Identification and elimination of micro-organisms in the air, on surfaces, and on objects that are stationary or in motion using artificial intelligence and machine learning algorithms
  • Micro-organism identification using light microscopes, conveyor belts, static electricity, artificial intelligence, and machine learning algorithms
  • Using artificial intelligence combined with nano technology for securing, manipulating, and positioning microorganisms for accurate detection
  • Artificial intelligence for Law Enforcement and the Military
  • Using machine learning algorithms and nano technology combinations to clean an indoor environment
  • Mobile cantilever robot and drone applications for agriculture

WIPO | PCT


  • Artificial intelligence application that identifies micro-organisms, matter and contaminates from water sources
  • Identification and elimination of micro-organisms in the air, on surfaces and on objects that are stationary or in motion using artificial intelligence and machine learning algorithms
  • Mobile cantilever robot and drone applications for agriculture
  • Using machine learning algorithms and nano technology combinations to clean an indoor environment
  • Artificial Intelligence for Law Enforcement and the Military
  • Manipulate and position biological germs, viruses, bacteria, fungus, protozoa, molds, allergens, disease forming micro-organisms (pathogens) and non- disease forming micro-organisms (non- pathogenic) on a staging area with nanoladders for accurate identification using machine learning algorithms
  • Micro-organism identification using light microscopes, electron microscopes, conveyor belts, static electricity, artificial intelligence and machine learning