GBT
Tokenize –
qTerm's Prototype
Completed
Enters
Testing
and Debugging Phase
San Diego, CA -- December
10, 2020 -- InvestorsHub NewsWire -- GBT Technologies Inc.
(OTC
PINK: GTCH)
("GBT", or the "Company"), announced
that
its joint
Venture GBT Tokenize Corp ("GBT/Tokenize") has completed
its qTerm device prototype and is
now the in 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.
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
press@gopherprotocol.com