Market Overview

Klas Telecom to Showcase Deep Learning Computer Vision Solution for Rail at InnoTrans 2018


Klas Telecom announced today that next week, at InnoTrans 2018, they
will debut a new, groundbreaking solution for the railway industry that
delivers deep learning computer vision and object detection technology
to the network edge and onboard trains. This new, multiplatform solution
will allow railway network operators to deploy applications, such as
video surveillance and smart camera, that mimic human vision and perform
tasks, such as vehicle identification, intruder detection and empty seat
recognition, that result in improved safety, security and risk analysis.
The new solution consists of the Klas Telecom TRX
Connected Transportation Platform R6
, a router/server and six-modem
cellular gateway device, running Intel® OpenVINO™ convolutional neural
networks (CNN) that together enable deep learning inference on the edge.
Klas Telecom's TRX R6 is unique in the railway communications systems
market in that it deploys with accelerated performance compute-intensive
workloads, like the Intel® CNN-based machine learning models, in a
single 4.5 kg, 250 mm x 279 mm x 76.5 mm chassis. TRX R6 is built to
meet environmental compliance standards for rail, contains
Intel® Core™ i7, i5 and i3 processors and provides an industry-leading
32 GB of RAM and up to 8 TB of built-in storage.

Klas Telecom is an Intel® IoT Solution Alliance member that specializes
in embedding and extending enterprise-grade Intel® processing to austere
edge environments. Customers interested in increasing deep learning
performance can recognize the following benefits from deploying
OpenVINO™ on Klas Telecom hardware:

  • Enabling CNN-based deep learning inference on the edge
  • Supporting heterogeneous execution across OpenVINO™ accelerators –
    CPU, GPU, Intel® Movidius™ Neural Compute Stick and FPGA – using a
    common API
  • Shortening time to market with a library of functions and
    pre-optimized kernels
  • Hardware acceleration

"It is exciting to be able to bring artificial intelligence and machine
learning into railway use cases such as traffic monitoring, vehicle
identification, pedestrian identification, real-time risk analysis,
security and passenger information services," said Klas Telecom Director
of Business Development for Transportation Brendan Fleming. "It means
our customers can save time by using computers to perform intelligent
functions and predictive analysis. Ultimately, time means money and we
hope to save our customers both."

At InnoTrans 2018 in Hall 7.1b, Klas Telecom will be demonstrating the
unparalleled flexibility of the TRX R6 platform from both passenger and
operator perspectives. Alongside partners Cisco, Davra, Fluidmesh and
Intel, the company will give demonstrations of the following use cases:
crossroad pedestrian and vehicle detection, intruder detection and
security barrier camera/registration detection (ANPR). InnoTrans 2018
will be held at Messe Berlin from September 18 -21 and is expected to
host approximately 3,000 exhibitors and over 100. For more information
on InnoTrans 2018, or to register your attendance, please visit the
InnoTrans 2018 website.

About Klas Telecom

Klas Telecom is an engineering and design company with over 25 years of
experience developing innovative communications solutions for the
network edge. Klas Telecom delivers connectivity to remote and austere
environments where low size, weight, power and ruggedization are
required. The company specializes in integrating enterprise networking
capabilities from global IT leaders with in-house hardware and software
platforms designed to meet market demands and the most stringent
environmental requirements. Klas Telecom leverages the latest technology
to stay on the forefront of the deployable communications industry. Klas
Telecom operates in the public safety, transportation and U.S. and
international government and defense markets. The company employs staff
across four offices located in Washington, DC; Herndon, VA; Tampa, FL;
and Dublin, Ireland.

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