LAS VEGAS, Sept. 1, 2020 /PRNewswire/ -- Remark Holdings,
Inc. (NASDAQ: MARK), a diversified global technology company with
leading artificial intelligence ("AI") solutions and digital media
properties, today announced that Remark AI's engineering team won
three out of five Championships in the Visual Object Tracking
category at the 16th European Conference on Computer
Vision ("ECCV 2020").
Remark AI won the championship in the Long-term tracking
challenge (VOT-LT2020), the Short-term real-time tracking challenge
(VOT-RT2020) and the Color and Depth long-term tracking challenge
(VOT-RGBD2020). "We are proud of what we accomplished at ECCV as it
reinforces that our AI products and services are based on some of
the highest-quality AI software available," said Kai-Shing Tao, the Chairman and Chief Executive
Officer of Remark Holdings, Inc.
The biennial ECCV is the European continent's top event in the
image-analysis field. The 2020 edition, the 16th, took place online
due to the COVID-19 pandemic. The Visual Object Tracking (VOT)
challenges represented the eighth annual tracker benchmarking
activity organized by the VOT initiative and held in conjunction
with the ECCV. Co-founded by the University of
Birmingham, the University of Ljubljana (the Czech Technical
University in Prague) and the
Austrian Institute of Technology, the VOT challenges are the most
authoritative evaluation platform in the field of visual target
tracking.
The VOT challenges evaluate the performance of each
participant's algorithm for short-term tracking of single targets
in complex scenarios. Evaluations include the standard VOT and
other popular methodologies for short-term tracking analysis and a
"real-time" experiment simulating a situation where a tracker
processes images as if provided by a continuously running sensor.
The long-term tracking sub-challenge focuses on long-term tracking
properties, namely coping with target disappearance and
reappearance. Since the evaluation sequence is updated every year,
and the accuracy of the annotation is improved year by year, the
VOT competition is also regarded as the most difficult competition
in the field of visual tracking, far surpassing other data
sets.
In recent years, the competition has become extremely
competitive, with many of the largest technology companies,
including Microsoft Research Asia and Tencent AI lab, internationally renowned
institutions and universities such as Oxford
University and ETH Zurich, competing for victory. After the
intensive competition, the Remark team won the championship in all
three sub-challenges, demonstrating Remark's growing AI technology
capabilities to the world.
Advancing AI technology Research & Development for wider
applications
Remark AI is an innovative enterprise dedicated to the
implementation of advanced artificial intelligence technology. The
company has established laboratories jointly with well-known
foreign universities such as Oxford
University and the University of
Liverpool, and has applied dozens of top AI technologies to
intelligent solutions such as safety and safety supervision,
farming, and manufacturing.
Remark AI continues to break new ground in the research and
development of cutting-edge technologies. In recent years, it has
successively won leading rankings in multiple international
competitions in the field of video tracking and segmentation,
marking Remark AI's industry leading position in key video
intelligent analysis technologies such as video target detection,
tracking and segmentation technologies. At the same time, these
technologies will be widely used in the 5G+AR video business of
Remark AI's smart retail, smart campus, smart construction, smart
city, internet of vehicles, medical and other fields.
Getting the world back to work sooner and safer
During the ongoing COVID-19 pandemic, Remark's AI thermal
imaging systems provide solutions to identify individuals with
higher than normal skin temperatures, and to protect other
individuals from possible infections. According to CDC, fever is
the earliest symptoms of COVID-19. Remark Thermal products are
industrial grade and developed to efficiently and accurately detect
raised body temperatures of individuals being scanned, providing a
first layer of security.
The use of thermal scanning can mitigate the risk of spreading
any type of contagious illness, but also include a multitude of
other benefits such as:
- Improve the safety of staff, and cut down operational costs
from not having a trained staff member to individually scan each
person entering with an outdated temperature gun;
- Have the ability to view alerts in real time both on display
and can also be sent as an email or text to authorized
administrators;
- Create a discreet and non-intrusive experience for your
customers and staff;
- Integrate with employee check-ins and contactless gate and door
access;
- Provide contact tracing questions after a temperature
scan.
In addition to video tracking and thermal imaging, Remark AI has
also made new progress in facial analysis. In response to the
current situation where people generally wear masks, mask wearing
detection, face recognition under masks, and attribute analysis
models have been developed. In addition, infrared thermal imaging
technology has been integrated to form an independent "Remark
Brain" integrated platform to help society solve all kinds of new
face problems under the new epidemic prevention situation.
With the resumption of work and schools, epidemic prevention for
people in public places such as office buildings, hotels, hospitals
and schools become even more challenging. The movement of people
has brought economic activity and greater health risks. Remark AI's
series of mask-wearing face models provide complete solutions for
all sectors of society in a timely manner. Its functions include
mask detection for employees, non-contact temperature measurement,
and daily face-scanning access control for check-in and
check-out.
In addition to individual settings, according to a test done on
100,000 actual pictures, the model can quickly identify and label
faces wearing masks and those without masks while detecting mass
faces in densely crowded public scenes. The face detection accuracy
rate reaches 98.6%, and the mask judgment accuracy rate reaches
96.8%. The test is done within 10ms, the industry's leading level.
Behind such a high accuracy rate is the ingenious model design and
the result of training with a large amount of data. On one hand,
the new model uses multiple data sets, training data of more than
100,000 images, and reconfirms clearly to ensure that the sample
size is large enough and the annotations are correct and effective.
On the other hand, the face detection model is based on a new
algorithm independently developed by Remark AI. The entire R&D
process is based on the "Remark Brain" deep learning platform,
which enables efficient and convenient model development, training,
and deployment. For the lighting, mask obstruction, expressional
changes, angle changes, scale changes and other issues in the
actual implementation, the model is robust and can be detected in
real time on a variety of different end, edge, and cloud
devices.
Related Links
www.remarkthermal.com
www.remarkholdings.com
About Remark Holdings, Inc.
Remark Holdings, Inc. (NASDAQ: MARK) delivers an integrated
suite of AI solutions that enable businesses and organizations to
solve problems, reduce risk and deliver positive outcomes. The
company's easy-to-install AI products are being rolled out in a
wide range of applications within the retail, financial, public
safety and workplace arenas. The company also owns and operates
digital media properties that deliver relevant, dynamic content and
e-commerce solutions. The company is headquartered in Las Vegas, Nevada, with additional operations
in Los Angeles, California and in
Beijing, Shanghai, Chengdu and
Hangzhou, China. For more
information, please visit the company's website at
http://www.remarkholdings.com/.
Forward-Looking Statements
This press release may contain forward-looking statements,
including information relating to future events, future financial
performance, strategies, expectations, competitive environment and
regulation. Words such as "may," "should," "could," "would,"
"predicts," "potential," "continue," "expects," "anticipates,"
"future," "intends," "plans," "believes," "estimates," and similar
expressions, as well as statements in future tense, identify
forward-looking statements. These statements involve known and
unknown risks, uncertainties and other factors, including those
discussed in Part I, Item 1A. Risk Factors in Remark Holdings'
Annual Report on Form 10-K and Remark Holdings' other filings with
the SEC. Any forward-looking statements reflect Remark Holdings'
current views with respect to future events, are based on
assumptions and are subject to risks and uncertainties. Given such
uncertainties, you should not place undue reliance on any
forward-looking statements, which represent Remark Holdings'
estimates and assumptions only as of the date hereof. Except as
required by law, Remark Holdings undertakes no obligation to update
or revise publicly any forward-looking statements after the date
hereof, whether as a result of new information, future events or
otherwise.
Company Contacts
E. Brian Harvey
Director of Capital Markets and Investor Relations
Remark Holdings, Inc.
ebharvey@remarkholdings.com
702-701-9514
Fay Tian
Vice President of Investor Relations
F.Tian@remarkholdings.com
(+1) 626-623-2000
(+86) 12702108000
View original content to download
multimedia:http://www.prnewswire.com/news-releases/remark-ais-research-and-development-team-led-by-dr-xiaoyun-yang-wins-three-champion-awards-at-eccv-2020-301121798.html
SOURCE Remark Holdings, Inc.