We are a company that provides customized consulting and solutions to improve customer value based on AIoT technology.
Solutions
PINIX AIoT Monitoring System Solution
The PINIX AIoT monitoring system solution is a solution for data collection, handling/processing, analysis, storage, and visualization based on real-time data stored on a server.
Main Features of the PINIX AIoT Monitoring System Solution
The PINIX AIoT Monitoring System Solution is a system that continuously observes the status or situation of a sensor stored in a server based on real-time data, and it is capable of confirming statistical data of sensors installed in the equipment and information on alarms to confirm the equipment state.
Collecting real-time sensor data
- Real-time video data
- Real-time vibration data
- Real-time temperature and humidity data
Real-time EDGE processing
- Equipped with an AI application model
- Reasoning using AI
- AI deep learning
Monitoring UI
- Data analysis
- Health monitoring
- Visualization
Various data sources and storage formats supported
oneM2M standard data collected
Secure device connection and data security
Various data sources and storage formats supported
· RDB, HDFS, CSV files, real-time data and unstructured text data supported
· Distributed file system supported
Data collection conforming to oneM2M standards
· MQTT protocol supported
Secure device connection and data security
· MQTT protocol supported
PINIX AIoT Monitoring System Solution
PINIX AIoT Deep Learning Server System
Deep learning
Big data analysis platform supported
Quick results through learning
Deep learning
· Deep learning with measured data
· Processes data information using artificial neural networks
Big data analysis platform supported
· High-performance distributed computing supported
· Optimal algorithms used
Quick results through learning
· Finds optimal parameters with automation to shorten the time of deduction
· Prioritizes decision-making and automated to reduce the time to get results
PINIX AIoT Monitoring System Solution
PINIX EDGE Computing
Anomaly detection and prediction
Reduced data processing time
Reporting and visualization supported
Anomaly detection and prediction
· Improved prevention of predictive failures
· Anomaly prediction and detection through algorithms obtained from learning
Reduced data processing time
· Shortened time to process data at EDGE gateways in real time
· Capable of processing big data
Reporting and visualization supported
· RDB, HDFS, CVS files, real-time data, and unstructured text data supported
· Distributed file system supported
· Dashboard settings to provide customized monitoring for administrators and workers
PINIX
Statistical Data Analysis
Provides charts and statiscal data to make it easy to analyze and use sensor data through algorithms.
Multi-graphs to compare data
Machine learning analytics
Algorithms for statistical analysis
PINIX
Data Visualization
Provides a monitoring screen to help user understanding through visualizations of various measured data.
Monitoring UI
Measurement data analysis
PINIX
Real-time Monitoring
Provides a dashboard to monitor necessary information in real time.
