Visual quality control use cases
Detect production defects
Improve quality output with defect detection models and end-to-end quality control solutions for discrete manufacturing, electronics, and other applications. We use both cloud-native services and custom models to meet scalability, latency, and throughout requirements.
Monitor assembly tasks and safety
Monitor and analyze your factory, warehouse, and worksite operations, with a focus on assembly tasks, safety, and compliance monitoring, with advanced computer vision methods.
Monitor logistics operations
Leverage specialized computer vision solutions for warehouse and logistics use cases, including inbound quality checks, label recognition, and traceability.
Perform advanced video preprocessing
In real-world settings, visual quality control often requires complex preprocessing of image and video data to detect individual objects, remove shadows, etc. Once the video is preprocessed, out-of-the-box anomaly detection models and cloud-native services can be used to perform the standard operations.
Track multiple objects
Our visual quality control solutions can analyze complex environments with multiple objects, and perform checks for each object.
Our latest innovations in Visual Quality Control
- InsightsBuilding a visual quality control solution with AWS Lookout for Vision and advanced video preprocessingIn this post, we demonstrate how to build an advanced video preprocessor and integrate it with Amazon Lookout for Vision, using a food processing use case as an example.Read more
- InsightsVisual quality control automation for logistics operations: A starter kit for GCPIn this article, we describe how to build a solution for automatic quality checks using computer vision methods and Google Cloud infrastructure for logistics and warehouse operations.Read more
- InsightsIndustrial label recognition made easy with AutoMLIn manufacturing, laboratory, logistics and even healthcare industries, people have to deal with standard, labeled equipment and materials. In this blog post we describe how modern cloud AutoML platforms make it easy to build an industrial label recognition system from scratch.Read more
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