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About aptpods
aptpod is a specialist of fast data (high-speed time-series data) in industrial IoT, IoT software / Service company. We provide a comprehensive framework for high-speed, high-volume data collection, transmission, advanced real-time processing, and event processing in the industrial scene.
Product introduction
The intdash provided by aptpod enables live connection of devices that generate a large amount of data in a short period of time, such as automobiles, robots, industrial machinery, and control and visualization applications, via mobile networks and the Internet. Streaming data flowing through intdash is saved as-is in a time-series data store, and can be used for visualization in Visual M2M, calculation processing in Analytics Services, and machine learning.
int dash
intdash is a two-way data transmission platform for high-speed, large-capacity, and stable streaming of frequently occurring time-series data via mobile networks. Streaming data flowing through intdash is stored as-is in a time-series data store and can be used for real-time visualization and machine learning.
1. Real-time transmission of large amounts of data
- Developed original protocol iSCP (indatsh Streaming Control Protocol) for transmitting large amount of time-series data *Patented
- Low-latency transmission of tens of thousands to tens of thousands of sensor data per second, media data such as video and audio, etc. as fusion data via mobile networks/Internet
- Realization of server relay type remote control, remote monitoring, remote diagnosis, remote measurement, etc.
2. High scalability
- Flexible deployment is realized by Microservices, and linear scale-out is possible by changing the configuration according to data characteristics and operation scale.
- In-house developed middleware realizes high-speed load distribution processing that can withstand reading and writing of large amounts of time-series data
- Capable of collecting and transmitting data at hundreds of thousands of points per second and simultaneously accessing large-scale operations with thousands of units
3. Data analysis processing, machine learning pipeline
- Applying scientific computing and transformation processes to real-time or stored data
- It is possible to build a pipeline from learning data collection, training data preparation, model development to operation in machine learning / AI development
Visual M2M Data Visualizer
A web-based dashboard application that visualizes a variety of time-series data, such as real-time streaming on the intdash data pipeline and past measurement data accumulated on the platform. Intuitive drag-and-drop operations allow users to freely configure their own dashboards with simple operations.
Demonstration video
Inquiry
If you have any questions or concerns about aptpod products, please feel free to contact us here.