LandingLens | LandingLens on Snowflake |
---|---|
Attribute | Cloud Deployment | Container Deployment | LandingEdge |
---|---|---|---|
Latency | High | Low | Low |
Throughput | Configurable | 30 FPS | 30 FPS |
Pricing | Per inference | Free | Free |
Feature | Cloud Deployment | Docker | LandingEdge |
---|---|---|---|
General | |||
Hosting | LandingLens-hosted | Self-hosted | Self-hosted |
Operating system | Linux, Mac, Windows | Any | Linux, Windows |
Can run inference when not connected to the internet | ✖ | ✓ | ✓ |
Can run inference on Visual Prompting models | ✓ | ✖ | ✖ |
Can see live results in the user interface | ✓ | ✖ (there is no user interface) | ✓ |
Can upload image metadata to images | ✓ | ✓ | ✓ |
Maximum inference calls per minute | 40 | Depends on system | Depends on system |
Can communicate with PLCs | ✖ | ✖ | ✓ |
Can deploy on NVIDIA Jetson devices | ✖ | ✓ | ✖ |
Can deploy on ARM64 processors | ✖ | ✓ | ✖ |
Running inference consumes credits | ✓ | ✖ | ✖ |
Send Images for Inference | |||
Drag and drop images | ✓ | ✖ | ✓ |
GenICam | ✖ | ✖ | ✓ |
Images from webcam | ✓ | ✖ | ✖ |
Video (will convert to images) | ✓ (via Python library) | ✖ | ✓ |
Select from a designated folder (folder watcher) | ✖ | ✖ | ✓ |
Send images via POST APIs | ✓ | ✓ | ✓ |
Post-Inference Features | |||
Apply post-processing scripts | ✓ (via Python library) | ✓ (via Python library) | ✓ |
Can view inferenced images & predictions in LandingLens | ✓ | ✓ (must pass --upload flag) | ✓ (must enable “Upload results to LandingLens”) |
Can save inferenced images to a local folder | ✖ | ✖ | ✓ |