For Release 9 a.m.
EST
March 21st,
2016
TinMan Systems
Announces AI Builder 3.0 and Extends Software Platform
to
Enable ‘Real-time’ Intelligent Systems Design
Platform enables
new efficient methodology for Intelligent Systems Design with
live system interface, sensor visualization, system control and
pattern recognition
SEATTLE, WA — March 21st, 2016
— Today, TinMan Systems (http://tinmansystems.com),
announced immediate availability of the TinMan Intelligent
Systems Design Platform, which includes an expanded suite of 6
software applications to communicate with, monitor, design and
deploy intelligent systems – in real-time.
With over 1 million lines of code,
and the third generation of flagship application AI Builder
[V3.0] at its core, TinMan’s foundation of inter-operable
applications provides the developer, engineer or scientist with
a complete framework of critical and time-saving technology to
get at, visualize and process live remote sensor data, as well
as the capabilities to simultaneously design, test and simulate
the actual intelligent engine which is controlling the external
system – all from the desktop.
This enables a highly efficient
approach / methodology that significantly reduces time to market
(or time in lab), and reduced cost in development and deployment
of intelligent systems.
The runtime library provides the
ability to ultimately deploy that engine locally on the system
for autonomous and/or semi-autonomous operation.
The TinMan Platform spans 3 primary
functional capabilities:
1) Real-time remote sensor data
access, parsing, fusion and visualization,
2) Real-time visual design, testing,
simulation and deployment of intelligent systems and
3) Design, testing and deployment of
pattern recognition and digital signatures for biometric and
non-biometric classification systems.
Intelligent System Design:
The 3rd generation of TinMan’s flagship application,
AI Builder (V3.0), is now available. AI Builder is a powerful
integrated development environment for the visual design,
real-time simulation, testing and deployment of autonomous and
semi-autonomous systems. Use the 90+ intuitive components and
modular assembly approach to visually design sophisticated
decision making systems. The application now supports direct
live data feed from sensors or other TinMan platform
applications, as well as to send output data (decisions) to the
cloud via UDP ports or other TinMan platform applications. AI
Builder can be used to develop intelligent engines for robotics,
aviation systems, health care diagnostics/monitoring, gaming,
threat prediction, pattern recognition/biometrics,
self-operating vehicles, digital signal processing/analysis,
etc...
Real-time System Interface:
TinMan RealTime™, enabling companies to rapidly access, and
visualize real-time sensor data and to send commands to multiple
systems to and from anywhere in the world. TinMan
RealTime, along with its optional ‘satellite’ applications were
developed as a result of the explosion of wireless sensors and
the fundamental shift to leverage real-time data anytime,
anywhere, to make things smarter – enabling a design process for
machine intelligence that operates with real-time data. TinMan
RealTime architecture was designed to work independent of or
seamlessly with AI Builder as a robust, multi-threaded
application to listen to, and send data to, multiple IP
addresses through multiple local sockets simultaneously. When
RealTime is running with AI Builder, it automatically controls
the AI engine under construction or testing in AI Builder,
sending sensor input data directly to AI Builder from RealTime
and receiving computed decision outputs directly from AI Builder
for sending to the target external system. On the other hand,
when TinMan RealTime operates as stand-alone it is extremely
helpful for just viewing live streaming sensor data and/or
manually controlling the external system.
Identity Signature Design:
Intelligent systems need to recognize / classify
objects and circumstances in their environment. To do this
requires reliable stable digital signatures of those objects.
TinMan Patterns is a data exploration and insight-generating
application used on data - usually data in the form of feature
vectors = where each feature vector represents a measured
identity, circumstance or condition. By providing multiple
measurements for a single class and then dynamically comparing,
registering, matching and analyzing various features/attributes
and their relative contribution to accurate classification, an
accurate identity signature can be determined. This signature
then can be imported into and used in biometric systems and
non-biometric systems depending on the application.
“What we are trying to do is
provide the engineer the software tools they need to work fast
and efficiently as they build, test and deploy smart systems.
This is a new methodology to building smart machines – it
enables a real-time design process to building autonomous
systems,” said Karl Hirsch, President and CEO at TinMan Systems.
“To draw an analogy, enabling ‘real-time intelligent design’ for
smart systems, is kind of like allowing a brain surgeon to
interact with and talk to his patient during surgery – providing
immediate feedback on effectiveness of the procedure. With smart
systems, immediate feedback and continuous iteration with the
use and modification of computational constructs greatly
accelerates productivity, reducing cost and risk.”
TinMan Systems was founded 6 years
ago with its flagship AI Builder application, which provides a
highly intuitive interface to visually designing artificial
intelligence engines for deployment in autonomous systems. These
systems are designed to function independently in a dynamic
environment - making decisions continuously given a steady
stream of real-time data from its sensors. Over the years,
users of TinMan technology requested that the design
process for machine intelligence was also made to operate with
real-time data. The intersection of ubiquitous real-time sensors
streaming data wirelessly, with the increased interest in
intelligent machines has set new requirements for bringing smart
and safe systems to market.
Running on the latest version of
Windows® (32 or 64 bit), platform applications are: AI Builder
V3.0, TinMan RealTime V1.2, TinMan Patterns V1.0, TinMan
Satellite Sender V1.0, Satellite Receiver V1.0 and AI Builder
Express V2.2. Each is a stand-alone software application but is
fully compatible and interoperable with the other platform
applications.
Pricing is available on the company’s
website and includes Academic/Personal use as well as Commercial
use licensing. Each application is available as a 30 day trial
for download.
About TinMan Systems:
TinMan Systems (www.tinmansystems.com)
provides software and professional services for the development
and deployment of autonomous systems. Our expanding software
platform consists of 3 general categories: Real-time sensor data
fusion, visualization and control (TinMan RealTime™) and
Intelligent Automation (AI Builder) and Pattern Recognition
systems. TinMan’s platform applications can be used
independently, or simultaneously for real-time design/testing of
autonomous systems. Professional services include both PC and
Web-based Rapid Software Application Design and Prototype
development in several key areas; most notably in Machine
Learning, Pattern Recognition, Biometrics and Intelligent
Automation / Autonomous Intelligence.
TinMan’s software suite is comprised
of an innovative, user-friendly tools framework and software
deployment library for customers to rapidly develop and
integrate expert real-time decision making into commercial
systems, themselves. By providing state-of-the-art tools,
advanced data visualization techniques and a fully abstracted
approach to the use and assembly of complex real-time machine
learning algorithms, TinMan’s products and services greatly
facilitate the application of AI technology to systems operating
in dynamic environments. TinMan Systems customers reduce costs
of development and significantly reduce time-to-market for their
intelligent products.
TinMan Systems was founded in July,
2010 and based in Seattle, WA. USA.
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