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Flexible LandingLens Deployment Options

Cloud and edge device deployment capabilities make integration into existing environments easy – deploy and test your model with just a few mouse clicks.

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 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
In App Features

Cloud Deployment
(LandingLens hosted)

Edge Deployment
(LandingEdge)

Inference Speed (latency)
1 FPS
Up to 2048 x 2048

Up to 30 FPS
(Depends on configuration)

OS
OS Agnostic
(Windows, Linux, Mac)
Windows, Linux
API (upload images, return result in JSON)
Metadata Input/Output
–
Image Acquisition
Webcam

(GenICam)

PLC
–
Folder Input/Output
–
Offline Mode
–
Post-Processing Scripts
–
Multi-Inspection Point
–
Result Dashboard

Automotive

Electronics

Food & Beverage

Medical Devices

Life Sciences

Agriculture

Manufacturing

Infrastructure

Pharma

Related Case Studies

More Case Studies >