Skip to content

Latest commit

 

History

History
39 lines (24 loc) · 1.49 KB

File metadata and controls

39 lines (24 loc) · 1.49 KB

Weld Porosity Sample Application

AI and machine vision enable real-time detection of welding defects, ensuring immediate corrective action before issues escalate. By leveraging the right camera and computing hardware, a trained AI model continuously monitors the weld, halting the process the moment a defect is detected. Deep learning AI processes video data at frame rates far beyond human capability, delivering unmatched precision and reliability.

Deploy using Docker Compose


For more details on deployment, refer to the documentation.

Deploy using Kubernetes Charts


For more details on deployment, refer to the documentation.

Supported versions


1.2.0

1.1.0

1.0.0

License Agreement


Copyright (C) 2024 Intel Corporation.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Legal Information


Intel, the Intel logo, and Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.