DigiSight is an IoT Insight platform equipped with build-in graphical EventFlow engine for applying mathematical and relational processing, powerful visual analytics engine and AI developing environment. It provides real-time analytics applications, large-scale data visualization, reorganization, predictive modeling and streaming analysis to realize insight and action rapidly in one platform.
For smart manufacturing application, AIoT technology is applied in DigiSight to create an environment of manufacturing data collection and management that help build a baseline from collected real-time PLC or IoT data and historical data, for example in MES or ERP systems, to reveal valuable messages and evaluate the efficiency and performance. With DigiSight assistance on data prediction and real-time decision making support, enterprise will get improvement of production lines through digital transformation.
- Smart Factory
- Manufacturing Optimization
- Innovative 5G Application
- Energy Optimization
- Smart Disaster Prevention
- Visual Analytics
- Through large-scale data blending process, visualized interactively drill down data and reorganize, filter data and so on, to discover abnormality or relevance turning into valuable findings.
- Predictive Analytics
- Finding patterns through Key factors correlation and utilizing machine learning to develop a predictive model for predicting outcome.
- Streaming Analytics
- Predictive model can be deployed in DigiSight platform to form a close loop applied to detect streaming data in real-time in order to take actions whenever the setting threshold is exceeded, such as sending event notification to managers or triggering stop signal to machine controllers.
- Powerful Multi-Functional Analytics Platform
- Pre-build numerous data protocol adapters and connection capabilities of processing streaming data
- Graphically display dynamic raw data and data after mathematical operation
- Large-scale data analytics engine for visual drill-down analytics
- Pre-build enterprise R engine realizes machine learning and deep learning rapidly
- Rule-based event triggering and hierarchical alert notification setting
- Performance monitoring function for fully manage system resources utilization
- High Reliability and Flexibility
- High-reliability Architecture(HA) emphasizing system stability
- On-premise and private cloud architecture considering autonomy and expansion
- Customized dashboard and regularly chart generation report
- Enhanced System Security Management
- Single Sign-on portal enabling data access security and operation authority management
- Retrievable access record and data change log