(Internship) Position Description Easyway_15_01

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Internship Code:
EAS-15-01: Easyway – Facial detecting for high-speed rail systems
Host Company:
EASYWAY(SUZHOU) ELECTRONICS TECH.CO., LTD
Website:
www.easyway.net.cn
Brief organization profile:
Easyway (Suzhou ) Electronic Tech company is a leading provider for
passenger service system in China in the transportation area especially railway.
The company focuses on “intelligent transportation passenger service system”
to provide whole life cycle service including product development, technology
innovation and integrated application solution. It supports software and
hardware integration and implementation for IoT products development,
manufacture and system integration.
Include size of organization,
industry, current endeavors,
and competitive edge.
The company has provided products and service for the railway information
system in the following high-speed railway projects: Beijing-Tianjin,
Shanghai-Nanjing, Shanghai-Hangzhou, Beijing-Shanghai, Haerbin-Dalian,
etc.
City:
Suzhou
Number of Position(s):
1
Work Hours:
(Five days a week, June 18 –
September 6, 2015)
9:00AM - 6:00PM, Mon – Fri, Five days a week
Housing availability?
■ Yes
Details: Hotel style apartment
□ No
Details:
Monthly intern stipend:
6000 (RMB)
Dress code:
Business casual
Department:
System Development Department
Department Profile:
1. The department is responsible for developing technical solution for the
railway passenger service system based on the company business requirements,
including system requirement analysis, design and implementation.
2. Responsible for company strategic planning and independent software
products development.
3. Responsible for providing technical support for company developed
software products.
China high-speed railway requires the passengers to use their real name to
purchase the tickets and the official ID needs to be checked at boarding, just
like the airline DCS system does but the process must be much easier and
faster as there are too many passengers on one train. One of the key issues is
how to quickly match the passenger’s face with the one showed on the photo
ID to figure out if it is the same person.
Work description:
Facial detecting and facial recognition technology is used in the passenger
boarding system to achieve above goals. These technologies can also help the
police and security department to detect and trace the wanted people.
The students will work on these projects and involve in the following tasks:
1) Research and study on facial detecting algorithm, fast image retrieving
algorithm, facial image quick comparing and matching algorithm, related
application development, etc.
2) Research and study the intelligent camera module with facial detecting
function.
3) Research on quickly retrieving information from massive images using
image recognition and retrieval technology.
Intern qualifications:
Please describe the required or
desirable skills, education,
personality, or other qualities
you feel would best fit the
position and your
organization’s needs.
1) Prefer students major in computer science, electronics, automation, or
mathematics.
2) Students with solid math background, as well we basic knowledge on
pattern recognition, image processing, computer vision, artificial
intelligence, and signal processing.
3) Prefer students with strong interest on algorithm study in the computer
vision area.
4) Basic understanding on intelligent video processing, better with project
development experience.
5) Strong programming capability, proficient in C / C ++ programming.
6) Responsible, innovative and team working.
□Undergraduate
Desired intern seniority
□Graduate
■Either
(prefer graduate students or equivalent)
Chinese language level
needed
(please check one):
□
Not needed,
can perform
job with
minimum
language
skills
□
Basic
reading,
writing, and
speaking
(one-year
level at
■
Intermediate
reading,
writing, and
speaking
(two-year
level at
□
High levels of
fluency needed
in reading,
writing, and
speaking
(three-year
Stanford)
Additional comments:
Stanford)
level and
above)
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