innoSIGNAL’s in-house developed AI based algorithm ‘SCAP’ is a powerful solution that detects and predicts changes in manufacturing process beyond human cognitive ability.
innoSIGNAL’s innovative quality control solution provides precise total inspection method, secures production process data, and provides defect prevention and management function beyond human cognitive ability.
innoSIGNAL will lead the trends of smart factory for 4th industrial revolution based on world class competitiveness edge.
innoSIGNAL, a venture start-up originated from a research group in Korea Institute of Science and Technology, provides innovative quality control solution for manufacturers, strengthens partner’s competitiveness, and leads innovations for smart factory.
Korea Institute of Science &
Machine Condition Monitoring
Full Stack Developer(19yrs)
Ohio State Univ.
B. of Psychology & AI
Full Stack Developer(14yrs)
B. Sc. of Information Statistic & Computer Science
Securing of KR & US Algorithm Patent,
Foundation of innoSIGNAL
Commercialization of Algorithm, Software Development
Development of Condition Monitoring for Bearing and Motor, Adaptation for various Sensors
Development of G3 Board for Measurement and Analysis, Commercialization of Weld Monitoring Algorithm for Arc and Resistance Welding
Selection of Partner Companies and Securement of National Certification, Starting Media PR, Founders Space, KAKAO Investment
K-Global 300, Post-BI
Launched SCAP algorithm licensing service
Registered as a supplier of smart factory
Establishment of Vietnam Branch
Establishment of US Branch
Venture Company Certification
(Korea Technology Finance Corp.)
2018 SEOUL POST-BI supporting Business Selection
(City of SEOUL & Korea Techno-Venture Foundation)
2018 K-Global 300 Selection
(Ministry of Science and ICT)
Weld current is measured using a simple sensor and analyzed using AI Algorithm without any modification to existing production system
Real-time weld defect monitoring overcoming limitations of competing technologies
Accurate real-time weld defect monitoring provides vast improvement of productivity and reduction of unpredictable but inevitable costs caused by weld defects in various industries like automotive companies and shipyards
Machine Condition Monitoring
Detects symptom of defects of machineries and equipment
Monitors tool wear and breakage and dramatically reduces maintenance costs by providing accurate condition based monitoring
Prognosis by AI algorithm provides proper maintenance method on machine and consumable parts optimized to each consumer needs
Real-time measurement / analysis of Bio-signals such as golf, skiing, etc. Real-time analysis and quantification can be performed by applying artificial intelligence algorithms to EMG, ECG, EEG, and FSR signals. Through this, posture correction, accident prevention, and record improvement can be expected.