Flexible LandingLens AI Deployment Options
Cloud and Edge device deployment capabilities make integration into existing environments easy – deploy and test your AI model with just a few mouse clicks.
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Cloud Deployment
Reduce deployment complexity
- Reduce time to deploy without needing edge device (IPC) configuration
- Quickly re-train models upon detecting performance changes
- Easily scale and manage projects in different locations
Edge Deployment using LandingEdge
Deploy on edge devices
- An all-in-one application for end-to-end AI deployment
- Seamless communication with industrial cameras and programmable logic controllers (PLC) for real-time decisions
- In-app support for pre-processing and post-processing scripts to manage images and output results
Docker
for advanced integration
A packaged model and inference application that can be installed in different environments.
- Total API control (including remote access) for model and inference
- Deployable on a private cloud or on any OS (Windows, Linux, or Mac) with or without a GPU
- Can be used with existing machine vision system
In App Features
Cloud Deployment
(LandingLens hosted)
(LandingLens hosted)
Edge Deployment
(LandingEdge)
Docker
Inference Speed (latency)
1 FPS
Up to 2048 x 2048
Up to 2048 x 2048
Up to 30 FPS
(Depends on configuration)
Depends on configuration
OS
OS Agnostic
(Windows, Linux, Mac)
(Windows, Linux, Mac)
Windows, Linux
OS Agnostic
(Windows, Linux, Mac)
API (upload images, return result in JSON)
Metadata Input/Output
Image Acquisition
Webcam
(GenICam)
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PLC
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Folder Input/Output
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Offline Mode
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Post-Processing Scripts
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Multi-Inspection Point
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Result Dashboard
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