Vision Data Collector¶
Are you searching for a standard and convenient way to collect vision data for your AI solution?¶
Vision Data Collector is a Siemens Industrial Edge App which captures images from Vision Connector, inference results from AI Inference Server, and stores them on a file server. You can use the captured data to (re)train and diagnose AI models.
Key features and benefits¶
Key features
- Collect images from Vision Connector via ZeroMQ
- Collect images from the shopfloor according to defined rules
- Store those images locally (file system)
- Collect prediction results for those images and store them locally
- Support image conversion and image resizing
- Provide data for visualization on Edge via WebSocket API
- Send collected data to the external environment (pull/push mechanism) according to the defined rules (FTP/STFP, Customer Endpoint)
- Allows custom sync to Cloud (e.g. MDF, FlowCreator, Kafka)
- Simple GUI for system setup, rules configuration and logs
Benefits
- Standard and convenient way to collect vision data for (re)training.
- Close the MLOps loop for IAI Portfolio.
- Enables additional rich functions with image metadata, such as inference result visualization/calibration, automatic image labeling, data filtering, etc..
- Collect images and inference result in a configurable way.
- Store data in local file system with customized storage volume.
- Provide data flexibly (local export, enterprise-level server storage, to cloud, etc.).
Available APIs¶
| OpenAPIs |
|---|
| Vision Data Collector OpenAPI |
