intel/weld-porosity-sample-application repository overview

⁠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.

⁠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.