Foresight Technology

Company introductionhttp://www.fs-technology.com

Foresight Technology(FST) was established in 2009 as a spin-off company of the National Cheng Kung University R&D team. The vision is to become a leading global service provider of “Manufacturing Intelligence", and currently serving customers has expanded to: semiconductor industry, packaging and testing industry, optoelectronic industry, solar energy industry, TFT-LCD industry, machine tool industry, smart manufacturing industry... and other related. The core technology of FST is that we plan six major level to achieve Industry 4.0 in the manufacturing industry. For each level, we provides standardized products and services to help customers improve machine productivity, machine health and quality control. 1) Tool & Info Automation, IOT 2) Data Collection and Storage 3) Data Visualization 4) Data Featuring 5) Data Analysis 6) Big Data Application

Business item(s)

Tool & Info Automation: PC/PLC Control SECS/GEM Capability Data Collection & Storage: MES Tool Process Log & Parser Data Visualization & Control: Tool Real-Time Monitor Data Viewer Data Featuring: RTM FDC: Retrieve Real-Time Data to Physical Index eRunCard: Retrieve Process/ Mfg Information Data Analysis: YMS/EDA: Engineering Data Analysis ePK: Key Parameter Analysis Big Data Application: Control: Run-to-Run Control Prediction: AVM & PdM Tool Matching Tool Health

Zero Defect Manufacturing

Safety is Big Issue in Future Auto: BMW manufactures 6000 cars per day Premium vehicles have more than 3500 semiconductors At 1ppm - that is 21 cars parked at the end of the manufacturing line every day 7000 cars a year

EDA

Engineering Data Analysis (EDA) is an indispensable analysis tool for the engineering team of the industries to analyze processes, integration, and yield (conversion rate) effectively in order to enhance the competitiveness of the company.

AI天眼通

Electronic wire:Detection & Classification Visual Recognition of Aluminum Wheel:  Purpose: Assist the robot arm to avoid mistakenly wheel of the processing line, the robot arm automatically picks out the wrong wheel. Application (Classification)  Hot spot identification Purpose:  Identify the position of the wheel valve hole to assist the machine to automatically correct the position of the wheel. Application(Position)  Specific target recognition

FDC

FDC (Fault Detection and Classification ) Introduction: The systematic method replaces the personnel monitoring the status of the machine in the process, intercepts it in time, avoids a large number of scraps, and conducts difference analysis when an abnormality occurs, allowing users to quickly eliminate the abnormality。

圖雲

系統概述:

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