industry news
Subscribe Now

ADLINK Teams with Intel and AWS to Offer AI at the Edge for Machine Vision Applications

Solution combines Intel® Distribution of OpenVINO™ toolkit, AWS Greengrass, Amazon Sagemaker and ADLINK Edge™ to simplify Edge AI deployments

December 2, 2019 – San Jose, Calif. – ADLINK Technology, a global leader in edge computing, has joined forces with Intel and Amazon Web Services (AWS) to simplify artificial intelligence (AI) at the edge for machine vision. The integrated solution offers an 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 Greengrass.

The ADLINK AI at the Edge 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. The ADLINK AI at the Edge solution features:

  • Intel Distribution of OpenVINO toolkit, optimizes deep learning workloads across Intel® architecture, including accelerators, and streamline deployments from the edge to the cloud.
  • Amazon Sagemaker, a fully-managed service that covers the entire machine learning workflow.
  • AWS 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.

“We’ve worked on multiple industrial use cases that benefit from AI at the edge, including a smart pallet solution that makes packages and pallets themselves intelligent so they can detect where they’re supposed to be, when they’re supposed to be there, in real-time,” said Toby McClean, VP, IoT Innovation & Technology, at ADLINK. “This enables warehouse customers to yield improved logistics and productivity, while also decreasing incorrectly shipped packages and theft. And this use case can be replicated across verticals to improve operational efficiency and productivity.”

Additional use cases include object detection modeling for object picking functions or worker safety, such as identifying product defects on conveyor systems or worker impediments in manufacturing environments, and equipment failure predictions to reduce machine downtime and increase productivity.

AI at the Edge software capabilities can be fully optimized on certified ADLINK devices, including our NEON industrial smart cameraEOS vision system, and deep learning accelerator card and GigE frame grabber with Intel® Movidius™ Myriad™ X VPU.

ADLINK’s AI at the Edge solution will be featured in Booth #125 and running on our industrial smart cameras as part of an industrial print machine demonstration being showcased at AWS re:Invent from December 2-6 in Las Vegas.

For more information, visit our website or follow us on social media: Linkedin / Facebook / Twitter.

About ADLINK

ADLINK is a global leader in edge computing. Our mission is to affect positive change in society and industry by connecting people, places and things with AI. Our offerings include robust boards, real-time data acquisition solutions and application enablement for AIoT. We serve vertical markets including manufacturing, communications, healthcare, military, energy, infotainment and transportation. We’re a Premier Member of the Intel® IoT Solutions Alliance, a strategic embedded partner of NVIDIA, and a contributor to standards initiatives such as Eclipse, OCP, OMG and ROS-I. Follow us on social media: Linkedin / Facebook / Twitter.

Leave a Reply

featured blogs
Jul 6, 2020
If you were in the possession of one of these bodacious beauties, what sorts of games and effects would you create using the little scamp?...
Jul 3, 2020
[From the last episode: We looked at CNNs for vision as well as other neural networks for other applications.] We'€™re going to take a quick detour into math today. For those of you that have done advanced math, this may be a review, or it might even seem to be talking down...
Jul 2, 2020
In June, we continued to upgrade several key pieces of content across the website, including more interactive product explorers on several pages and a homepage refresh. We also made a significant update to our product pages which allows logged-in users to see customer-specifi...

featured video

Product Update: What’s Hot in DesignWare® IP for PCIe® 5.0

Sponsored by Synopsys

Get the latest update on Synopsys' DesignWare Controller and PHY IP for PCIe 5.0 and how the low-latency, compact, power-efficient, and silicon-proven solution can enable your SoCs while reducing risk.

Click here for more information about DesignWare IP Solutions for PCI Express

Featured Paper

Cryptography: A Closer Look at the Algorithms

Sponsored by Maxim Integrated

Get more details about how cryptographic algorithms are implemented and how an asymmetric key algorithm can be used to exchange a shared private key.

Click here to download the whitepaper

Featured Chalk Talk

Microchip PIC-IoT WG Development Board

Sponsored by Mouser Electronics and Microchip

In getting your IoT design to market, you need to consider scalability into manufacturing, ease of use, cloud connectivity, security, and a host of other critical issues. In this episode of Chalk Talk, Amelia Dalton sits down with Jule Ann Baker of Microchip to chat about these issues, and how the Microchip PIC-IoT WG development board can help you overcome them.

Click here for more information about Microchip Technology PIC-IoT WG Development Board (AC164164)