$GTCH Their Recent Patent News: Intelligent Motion Detection Technology Patent Expected to be Granted on April 12, 2022; Patent # 11,302,032
SAN DIEGO, April 05, 2022 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT” or the “Company”), received an issue notification for its intelligent motion detection patent, which the Company has assigned the internal code name “Apollo”. The non-provisional patent application will be granted on April 12, 2022, patent #11,302,032. The patent seeks to protect radio based, real time motion detection methods and systems. As described in the patent, neural network algorithms are designed to control and analyze radio waves transmissions and their reflections to construct 3D images and motion. The Apollo’s technology design is based on wireless transmissions that are made within specific frequencies measuring the returned reflected waves information. Apollo’s neural network is then designed to analyze the object constructing live images. The patent also seeks to cover real-time motion technology enabling live video through radio waves. The technology is designed to distinguish between living entities and objects by detecting distinctive patterns and intelligent mapping. The technology is designed to works in both indoors and outdoors environments as well as through walls and other mediums. The system’s effective range starts within a typical residential home area and can be extended using repeater units to cover larger facilities and structures. GBT believes that this innovative technology can be applied within health, security, military, and emergency response domains and plans to conduct further research and development in the near future.
"We receive an issue notice for our intelligent, wireless motion detection patent and plan to start R&D efforts to commercialize the technology, in wide variety of domains. We believe this technology can be used in a wide diversity of fields which would include wearable-less health monitoring to measure human’s vitals and detect falls. We also believe another type of application is to provide “eyes” for autonomous vehicles or a background system to detect concealed objects in airports."
SAN DIEGO, April 05, 2022 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT” or the “Company”), received an issue notification for its intelligent motion detection patent, which the Company has assigned the internal code name “Apollo”. The non-provisional patent application will be granted on April 12, 2022, patent #11,302,032. The patent seeks to protect radio based, real time motion detection methods and systems. As described in the patent, neural network algorithms are designed to control and analyze radio waves transmissions and their reflections to construct 3D images and motion. The Apollo’s technology design is based on wireless transmissions that are made within specific frequencies measuring the returned reflected waves information. Apollo’s neural network is then designed to analyze the object constructing live images. The patent also seeks to cover real-time motion technology enabling live video through radio waves. The technology is designed to distinguish between living entities and objects by detecting distinctive patterns and intelligent mapping. The technology is designed to works in both indoors and outdoors environments as well as through walls and other mediums. The system’s effective range starts within a typical residential home area and can be extended using repeater units to cover larger facilities and structures. GBT believes that this innovative technology can be applied within health, security, military, and emergency response domains and plans to conduct further research and development in the near future.
"We receive an issue notice for our intelligent, wireless motion detection patent and plan to start R&D efforts to commercialize the technology, in wide variety of domains. We believe this technology can be used in a wide diversity of fields which would include wearable-less health monitoring to measure human’s vitals and detect falls. We also believe another type of application is to provide “eyes” for autonomous vehicles or a background system to detect concealed objects in airports."
