amazon Lookout for Vision, the AWS service designed to create custom artificial intelligence and machine learning (ai/ML) computer vision models for automated quality inspection, will be discontinued on October 31, 2025. New Customers They will not be able to access the service from now on. October 10, 2024, but existing customers will be able to use the service normally until October 31, 2025. AWS will continue to support the service with security updates, bug fixes, and availability improvements, but we do not plan to introduce new features. for this service.
This post discusses some alternatives to Lookout for Vision and how you can export your data from Lookout for Vision to migrate to an alternative solution.
Alternatives to Lookout for Vision
If you're interested in an alternative to Lookout for Vision, AWS has options for both buyers and builders.
For an out-of-the-box solution, the AWS Partner Network offers multi-partner solutions. You can search for solutions on the Computer Vision for Quality Insights page in the AWS Solutions Library. These partner solutions include software options, Software as a Service (SaaS) applications, managed solutions, or custom implementations based on your needs. This approach provides a solution that addresses your use case without requiring experience in imaging, computer vision, artificial intelligence, or application development. This typically provides the fastest time to value by leveraging the specialized expertise of AWS partners. The Solution Library also has additional guidance to help you create solutions faster.
If you prefer to build your own solution, AWS offers ai tools and services to help you develop an ai-based computer vision inspection solution. amazon SageMaker provides a set of tools to build, train, and deploy machine learning models for your use case with fully managed infrastructure, tools, and workflows. In addition to SageMaker allowing you to create your own models, amazon SageMaker JumpStart offers built-in computer vision algorithms and pre-trained defect detection models which can be adjusted to your specific use case. This approach gives you the tools to accelerate your ai development while providing complete flexibility to create a solution that meets your exact requirements and integrates with your existing hardware and software infrastructure. This typically provides the lowest operating costs for a solution.
AWS also offers amazon Bedrock, a fully managed service that offers a selection of high-performance generative ai foundation models (FMs), including models that can help build a amazon-bedrock-with-claude-3-developer-s-guide-with-demos?lang=en” target=”_blank” rel=”noopener”>defect detection model running in the cloud This approach allows you to create a custom solution while using the power of generative ai to handle the creation of the custom computer vision model and some of the code generation to accelerate development, eliminating the need for a full computer vision expertise. in ai. amazon Bedrock provides the ability to analyze images for defects, compare the performance of different models, and generate code for custom applications. This alternative is useful for use cases that do not require low-latency processing, providing faster time-to-value and lower development costs.
Migrate Lookout for Vision data
To move existing Lookout for Vision data for use in an alternative deployment, the Lookout for Vision SDK provides the ability to export a set of data from the service to an amazon Simple Storage Service (amazon S3) bucket. This procedure exports the training data set, including manifest and data set images, for a project to an amazon S3 destination location that you specify. With the exported dataset and manifest file, you can use the same data you used to create a Lookout for Vision model to create a model using SageMaker or amazon Bedrock, or provide it to a partner to incorporate into their customizations to your use case.
Summary
Although Lookout for Vision is scheduled to close on October 31, 2025, AWS offers a powerful set of ai/ML services and solutions in the form of SageMaker tools to create custom models and generative ai with amazon Bedrock to perform custom inspections and generate code . , plus a variety of partner offerings in the AWS Partner Network. Export tools allow you to effortlessly move your data from Lookout for Vision to an alternative solution if desired. You should explore these options to determine which one works best for your specific needs.
For more details, see the following resources:
About the author
Tim Westman is the product manager and go-to-market leader for Edge Machine Learning at AWS. Tim leads product management and business development for the Edge Machine Learning business at amazon Web Services. In this role, he works with customers to help create computer vision solutions at the edge to solve complex operational challenges. Tim has over 30 years of experience in sales, business development and product management roles for leading hardware and software companies, with the last 8 years specializing in artificial intelligence and computer vision for IoT applications.
