Automate visual inspection of product defects at the edge with Amazon Lookout for Vision - now generally available
Amazon Lookout for Vision is now generally available to AWS customers to use at the edge. You can deploy your trained Amazon Lookout for Vision models to a hardware device of your choice and run inference locally without any cloud dependencies. Your trained models can be deployed on any NVIDIA Jetson edge appliance or x86 compute platform running Linux with an NVIDIA GPU accelerator. You can use AWS IoT Greengrass to deploy and manage your edge compatible customized models on your fleet of devices. AWS IoT Greengrass is an open-source edge runtime and cloud service for building, deploying, and managing device software.
Amazon Lookout for Vision is now generally available to AWS customers to use at the edge. You can deploy your trained Amazon Lookout for Vision models to a hardware device of your choice and run inference locally without any cloud dependencies. Your trained models can be deployed on any NVIDIA Jetson edge appliance or x86 compute platform running Linux with an NVIDIA GPU accelerator. You can use AWS IoT Greengrass to deploy and manage your edge compatible customized models on your fleet of devices. AWS IoT Greengrass is an open-source edge runtime and cloud service for building, deploying, and managing device software.
As a part of this launch, AWS also announced the Amazon Lookout for Vision Starter Kit in partnership with ADLINK. This starter kit includes the ADLINK DLAP-211-JNX Vision Platform and allows customers to expedite their quality management AI-based solutions at the edge. It provides a vertical solution that integrates ADLINK’s edge hardware with AWS cloud services to bridge the gap between the cloud and edge for deploying end to end machine learning solutions. It includes support for any Genicam compatible camera such as Basler cameras, image acquisition support to train your Lookout for Vision models, easy deployment of these models at the edge, logging capabilities on the device such as performance metrics, provides visual capabilities to simplify the media pipeline configuration, and a visual application that can run on a separate local computer to monitor the image streams and inference results.
“We’re excited to partner with AWS and launch the Amazon Lookout for Vision Starter Kit. This kit allows manufacturers to get started with their defect detection solutions quickly and easily – with no machine learning experience required,” said Elizabeth Campbell, CEO at ADLINK Americas. “The best part? You get to take the machine learning models you deployed and scale up with a new range of AWS certified, ADLINK machine vision systems as it develops to meet evolving needs.”
With Amazon Lookout for Vision and AWS IoT Greengrass, you can automate visual inspection with computer vision for processes like quality control and defect assessment - all on the edge and in real time. You can proactively identify problems such as part damage (like dents, scratches, or poor welding), missing product components, or defects with repeating patterns, on the production line itself - saving you time and money! Customers such as Baxter International Inc. are discovering the power of Amazon Lookout for Vision to increase quality and reduce operational costs by automating visual inspection.
Amazon Lookout for Vision is available directly via the AWS console as well as through supporting partners to help customers embed computer vision into existing operating systems within their facilities. Amazon Lookout for Vision is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Seoul), with availability in additional regions in the coming months. To learn more and get started, visit the Amazon Lookout for Vision product page.