GBT is seeking to develop application specific AI models for its Motion Detection Wireless technology
GBT Technologies Inc. (OTC PINK: GTCH) is focusing on developing AI models for its patented motion detection technology, Apollo, targeting IoT applications. Apollo aims to enhance its adaptability and real-time functionality by constantly learning from its environment. The technology employs advanced algorithms for 3D/2D imaging, improving situational awareness. However, the company acknowledges challenges ahead, including securing funding and forming strategic partnerships for successful product development and market entry.
- Development of AI models for IoT improves potential market applications.
- Apollo technology offers advanced 3D/2D imaging capabilities.
- Real-time data processing and adaptability enhance competitive edge.
- No guarantee of successful research and product development.
- Need for significant capital raises presents financial risk.
- Dependence on strategic partnerships for manufacturing and distribution.
Machine Learning models are targeted to be applied for IoT applications
SAN DIEGO, Aug. 18, 2022 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”) is seeking to develop application specific, AI models for its intelligent, wireless, motion detection patented technology, which has been assigned an internal code name “Apollo.” The goal of Apollo is to develop AI that would reprogram itself on-the-fly, adjusting its internal recognition data, constantly learning about its environment. Apollo is building up and updating its AI models with new data every nanosecond to improve its knowledge of its surroundings, maintaining a reliable, speed lightning response to changes.
GBT is now researching the development of specific AI models for the IoT domain. These models aim to adapt the Apollo system for IoT devices to identify changes within rapid-change environments, reason and make the necessary call to execute the best action according to circumstances. Apollo patented technology includes AI algorithms to control and analyze radio wave transmissions and their reflections, constructing accurate 3D/2D imaging in real time. The technology is designed to produce high-resolution images and live video, understanding its environment. The technology distinguishes between objects and living entities by detecting unique patterns and performing an intelligent surroundings mapping. The Company is researching the development of machine learning models for Apollo with the goal of enabling intelligent computer vision capabilities for IoT systems.
The Company released a short video explaining the basic of the Apollo system: https://youtu.be/mPNB-a-yMF8
"We believe our Apollo technology can be an effective system for wide range of applications. We believe one of the major domains that Apollo can be adapted into, is the IoT arena. An intelligent autonomous vehicle computer vision implementation would be able to understand a sudden scenery change from multiple perspectives at the same time. Apollo is designed to analyze the data using multidisciplinary methods to understand the problem, reason and execute an appropriate response. We are now researching to develop AI models to work particularly designed within the IoT domain. Since Apollo’s AI is equipped with high resolution responsive practices, rapid scan updates, and integrated real time analysis, it could be a great fit for IoT applications in many fields. We believe we are developing Apollo to serve as an accurate, quick response where computer vision is needed. Apollo sends RF data and analyzes its reflections using machine learning techniques, constructing 3D/2D images and live motion videos in real time. Since it's very sensitive to volume changes, it can wirelessly “see” all around. We believe the use of AI models targeted for IoT can be an excellent application to provide a radio based, real-time response computer vision system. Apollo has the capability to understand complex context of scanned images and can be implemented within a wide range of computer vision tasks. One of its main advantages upon other technologies is its capability to understand the big picture. For example, Apollo can determine if an upcoming road tunnel height is 12ft height or 20ft and make a judgement call if it is safe to go through it. Apollo’s great advantage is its capability to understanding its surroundings settings which makes it a great candidate for IoT computer vision solution,” stated Danny Rittman, the Company’s CTO.
There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.
About Us
GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, is to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between any and all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.
Forward-Looking Statements
Certain statements contained in this press release may constitute "forward-looking statements". Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements as a result of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website (http://www.sec.gov). In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company’s ability to raise capital on acceptable terms, if at all, the Company’s successful development of its products and the integration into its existing products and the commercial acceptance of the Company’s products. The forward-looking statements included in this press release represent the Company's views as of the date of this press release and these views could change. However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing the Company's views as of any date subsequent to the date of the press release.
Contact:
Dr. Danny Rittman, CTO
press@gopherprotocol.com
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