Solution Demo Video

Enabling Object Detection for Predictive Modeling Through Edge AI Machine Vision
Simplified AI at the edge for machine vision to realize the benefits of increased efficiency and productivity
  • Closes the loop on the full cycle of machine learning model building—from design to deployment to improvement—by automating edge computing processes
  • Allows customers to focus on developing applications without needing advanced knowledge of data science and machine learning models
  • Provides integrated solution with Amazon SageMaker-built machine learning model optimized by and deployed with the Intel® Distribution of OpenVINO™ toolkit, the ADLINK Edge™ software suite and certification on AWS IoT Greengrass

Enabling Object Detection for Predictive Modeling Through Edge AI Machine Vision


The ADLINK Edge AI solution closes the loop on the full cycle of machine learning model building—from design to deployment to improvement—by automating edge computing processes so that customers can focus on developing applications without needing advanced knowledge of data science and machine learning models. ADLINK and our partners have worked on multiple industrial use cases that benefit from Edge AI, including smart logistics to make packages and pallets intelligent so they can detect where they're supposed to be in real-time; object detection modeling for object picking functions, such as identifying product defects on conveyor systems; worker safety to detect worker impediments or lack of proper safety gear in field and manufacturing environments; and equipment failure predictions to reduce machine downtime. 

In this Solution Demo Video, we will discuss the following features:

  • Intel® Distribution of OpenVINO™ toolkit, which optimizes deep learning workloads across Intel® architecture, including accelerators, and streamlines deployments from the edge to the cloud
  • Amazon SageMaker, a fully-managed service that covers the entire machine learning workflow
  • AWS IoT Greengrass, which extends AWS to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage.
  • The ADLINK Data River™, offering translation between devices and applications to enable a vendor-neutral ecosystem to work seamlessly together
  • The ADLINK Edge software suite, which builds a set of deployable applications to communicate with end-points, devices or applications and which publish and/or subscribe to data topics on the ADLINK Data River

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ADLINK Differences

Industry-Leading R& Investment

>30% of employees in engineering functions

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Award-Winning Technology

2018 Edge Computing Company of the Year

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Focus on diversity

45 managers representing 16 nationalities

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Preventing Costly Downtime

Smart Gateways Enable Monitoring of Water Quality in Near Real-time.

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Making Pallets Talk

Smart Pallets Advance Efficiency of Warehouse Logistics

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Improving Patient Experience

Panel Computers Increase Productivity for Medical Imaging Facilities

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