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Guidance for Computer Vision Quality Insights with Tulip Vision on AWS

Overview

This Guidance shows how to use Tulip Vision to implement comprehensive quality control processes in your manufacturing operations—without requiring coding expertise. It showcases how Tulip Vision integrates with AWS services to enable automated visual inspection and quality control processes. Through an intuitive interface, you can build functional applications that guide operators, perform measurements, and drive quality improvements in manufacturing operations.

Benefits

Deploy no-code computer vision capabilities that enable operators to identify product defects in real-time. Leverage edge computing and cloud-based ML to improve product quality while reducing manual inspection time.

Implement an isolated multi-tenant architecture that securely manages quality data across facilities. Maintain data privacy while enabling enterprise-wide quality insights through dedicated storage and access controls.

Connect quality inspection data with production systems through pre-built device integrations. Drive continuous improvement by correlating quality metrics with operational data in a unified platform.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.