Cloud solution for machine vision AI at the edge

ADLINK Technology has announced that it has partnered 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 optimised by and deployed with the Intel Distribution of OpenVINO toolkit, the ADLINK Edge software suite and certification on AWS Greengrass.

The company says its 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 users can focus on developing applications without needing advanced knowledge of data science and machine learning models.

“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 modelling 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.

ADLINK says AI at the Edge software capabilities can be fully optimised on certified ADLINK devices, including its NEON industrial smart camera, EOS vision system, and deep learning accelerator card and GigE frame grabber with Intel Movidius Myriad X VPU.