#AI #Health Breaking News: GBT Tokenize
(OTCPINK: $GTCH) - qTerm's Prototype Completed; @GbtTechnologies #ArtficialIntelligence
GBT Technologies Inc. Enters Testing and Debugging Phase
SAN DIEGO - December 10, 2020 (Investorideas.com Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), announced that its joint Venture GBT Tokenize Corp ("GBT/Tokenize") has completed its qTerm device prototype and is now in the testing and debugging phase. The testing and debugging phase is targeted to check the device's overall functionality and its sub-systems including BLE (Bluetooth Low Energy), IR heat sensors, oximeter sensors, power management and others. The initial testing provided satisfactory results and all electronic circuitries are fully functional.
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featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2020/12101qTerm.asp
Further
testing of the complete system will be conducted during the upcoming weeks in
order to finalize the device’s functionality. Another aspect is the device's
mechanical enclosure, components and sensors placement. The device is assembled
based on the most up-to-date SMT (Surface Mount Technology). SMT is a method in
which the electronic components (microchips, resistors, capacitors) are mounted
directly onto the surface of a printed circuit board (PCB). SMT is an efficient
method to create small electronic devices and to increase manufacturing
automation which reduces cost and improves quality. It also allows for more
electronic components to fit on a given area. qTerm prototype includes a PCB
with IR and optical sensors, LEDs for visual feedback, battery and its
enclosure. The device firmware, which is a permanent software code that is
programmed into an internal read-only memory, provides the machine-level
control for a device's specific hardware.
qTerm's
embedded firmware provides a robust operating environment, performing functions
control, monitoring and data manipulation operations. The device will be
providing a visual feedback about the results, using colored LEDs and a mobile
application information and alerts. A custom mobile application is working with
the device to read the data, process it, and provide the results to the user.
In addition, the mobile application is an interface to send data to a backend
program that is running on a server. The data is planned to be further analyzed
by AI algorithms to enable health monitoring, on-going health information and
alerts. The mobile app is planned to use location information to provide
proximity alerts in order to slow the pandemic spread. The proximity alerts
will be based on voluntary, anonymous, private user's participation.
"Our
qTerm vitals device prototype has been completed and now under intensive
testing and debugging. We are excited to see its features coming alive,"
stated Danny Rittman, GBT’s CTO. "As with typical developments of this
nature we encountered minor mechanical alignment issues due to the PCB
fabrication. These were addressed in order to create an optimal mechanical
support for the sensory systems. The really exciting news is that the
electronics are 100% working according to the design. We are now testing each
individual function of the device; among them are the Low Energy Bluetooth
communication, the infrared heat sensors, the oximeter, which is the blood
oxygen optical sensors, power consumption and others. We are also testing
system level functions and features. We are focusing on evaluating each
electrical and mechanical aspect, like sensor distances, accuracy, ease of use,
and battery life. The PCB has been manufactured using SMT which enables smart, robust
electronics within small areas. We embed the device's firmware and are now
going through a sequence of functionalities testing and debugging. The firmware
is a machine level program that is controlling qTerm's operations. The firmware
is in charge of executing system level and active features. For example,
measuring the ambient temperature as a reference is a system level function to
be used for the purpose of proving an accurate active function of body heat
measurement. In parallel we are testing the device connection with its mobile
application via Bluetooth. The mobile application will provide numerical and
statistics information based on the device's electronic results. The app is
designed to send the data to a machine learning based backend program for
further analysis. qTerm mobile app enables a voluntary, anonymous, proximity
alert notification in order to help users and the community fight the pandemic
spread. The app is designed to detect and alert in case another person, with
the same app, and with elevated body temperature, is in proximity of 6 feet.
The app will exchange a secure code with the other phone to record that they
were near. Our AI technology will analyze the measurements results in order to
identify potential health issues. In case of potential health issue detection,
the system will alert the users in order to reduce the potential exposure risk
to their families, friends, neighbors, co-workers and others. We put extra
attention to the user's privacy and data protection. We are making all of our
efforts to complete the testing as soon as possible in order to move to the
full production of qTerm."
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
GBT Technologies Inc.
Media: press@gopherprotocol.com
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