ZINNIAS CI
ZINNIAS specializes in machine learning-based reliable ICT solutions and is constantly researching and striving for a wonderful future, pursuing positive thinking and active action.
The company's name bears the meaning of zinnia, a flower that is born as a weed and blooms beautifully for 100 days.
ZINNIAS's logo has been enhanced with a clear, professional image that focuses on the expertise of ICT and the potential of machine learning, and is designed to visually symbolize ICT and machine learning.
EASY
The logo is designed in an intuitive form so that the user can clearly understand what the company's business field is from the user's point of view.
The overall form motif of the logo design is 'circuit' and is merged with the initials representing the company to express the unique identity of 'ZINNIAS'.
EXPERTISE
The 'circle' in the logo symbolizes the expertise of ICT and machine learning technology, and the company's initials 'connect' them to create a clear and powerful logo. This design represents a highly reliable and professional company.
POSSIBILITY
Diagonal lines and curves are used to express dynamics and potential. By using diagonal lines and curves on a straight line background, you can feel the company's dynamics and possibilities within the logo.
Technology
Technologies
Patents
Papers
Business
Government Projects
- Development of golf smart band using sound deep learning (2016)
- This recognizes shots using golf shot sound and 9-DoF sensor data and identifies golf clubs and records scorecards automatically through golf sound learning
- Keywords : Machine learning, Embedded software, Signal processing, Mobile application
- Real-time 3D vision inspection system based on machine learning (2017)
- This generates a 3D model by preprocessing the profile data obtained by scanning the welding surface with a laser sensor and then inspects the welding state using the deep learning model.
- Keywords : Machine learning, Image processing, Signal processing 3D modeling, Data analysis
- Development of OBD-based driving stress prediction system using deep learning (2018)
- This information system is designed with the correlation between OBD data and driving stress according to driving conditions and predicts driving stress using only OBD data to inform the driver of the stress state.
- Keywords : Machine learning, OBD, Driving stress, Signal processing
General Business
- Data acquisition system for smart factory
- The device collects process data for factory automation and sends it to a server.
- Sound and motion sensor board
- This is a data acquisition board for analyzing the speaker's disposition by extracting and analyzing the speaker's speech and motion during conversation or interview.
- Machine learning-based facility power analysis and fault diagnosis system
- The system consists of smart data acquisition devices and a machine learning-based cloud solution. Smart data acquisition devices can collect effective data from manufacturing facilities and processes of small and medium-sized manufacturing companies in real-time, and machine learning-based cloud solutions provide real-time monitoring, machinery fault diagnosis, and process data analysis. In particular, it records and manages current and voltage usage, and provides analytical data for detecting fault status and determining the operating status of equipment through power analysis using machine learning.
News
- 2019-09-16
테스트
테스트입니다
- 2019-09-16
카테고리테스트
테스트입니다요테스트입니다요옹
- 2019-09-23
카테고리테스트
사용여부 테스트입니다요
- 2019-09-23
이미지테스트입니다
test
- 2019-09-18
구인구직 짱
사람구해여
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채용정보
열정넘치는 가족을 모십니다.
글쓰기 엔터키안먹음!!!!!자바 3명
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채용정보
사람구해요
C# 1명
Contact
Feel free to contact us and we’ll get back to you within 24 hours.
#313 Bldg. 35, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan(44610), Korea
052.225.9293
contactus@zinnias.co.kr
