ADLINK Edge™
Machine Vision
AI Software

Smarter, Not Harder Driving Intelligent Action from High Volume Vision Data Streams

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  Simply Connect, Stream & Control

  Based on open standard and open architecture, ADLINK Edge ensures vision data can connect easily and securely to AI inference engines for real-time results.

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  Machine Vision at the Edge

  AI at the edge enables ultra fast intelligence and automation by deploying vision data closest to its source and in real-time removing latency.

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  Scalable, Plug & Play Hardware

  ADLINK’s range of hardware comes ready to deploy with ADLINK Edge™ allowing you to scale up and plug in new AI functionality as it develops and to meet your evolving needs.

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  Flex, Scale & Evolve with our Ecosystem

  ADLINK Edge™ integrates with technology from our deep partner ecosystem to deliver machine learning for vision at the edge and enabling you to build, scale, learn and update easily.

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  Profile Builder

  The ADLINK Edge™ Profile Builder manages the deployment and operation of ADLINK Edge™ Solutions.

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  Stream Viewer

  Receives video frames and inference results from the ADLINK Data River™ and combines them into a single video stream that can be viewed with the Profile Builder or an RTSP Viewer.

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  Vision Pipeline

  The Vision Pipeline reads video frames directly from the camera (note: other apps available for distributed cameras) and performs a sequence of functions including resizing, primary inference, secondary inference, tracking and pushing the result to the ADLINK Data River™

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  Model Manager

  Facilitates AI inference model deployment by storing models locally for the inference engine to load via the ADLINK Data River™. Models can be uploaded to the Model Manager via the Profile Builder application.

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  Training Streamer

  Facilitates the capturing of images for the purposes of training AI models. Images can be captured to a local file system and/or can be uploaded to an FTP/SFTP server.

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  Node-RED

  Reads inference results from the ADLINK Data River™ and takes action in real-time based on what the user graphically modelled using the Node-RED framework

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  OT Connect

  Control operational equipment at the factory floor using a wide range of supported fieldbus protocols, like Modbus, OPC/UA, Ethernet/IP and more.

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  Cloud Connect

  Connect to any Cloud Service Provider and integrate with their platforms.

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  Historian Connect

  Record time series results over long periods of time on disk for inspection and analysing trends at a later point in time.