intel/weld-anomaly-detection-sample-app repository overview

⁠Weld Anomaly Detection

This sample app demonstrates how AI-driven analytics enable edge devices to monitor weld quality. It detects anomalous weld patterns and alerts operators for timely intervention, ensuring proactive maintenance, safety, and operational efficiency. No more failures and unplanned downtime.

⁠Supported versions

⁠2025.2⁠

⁠Deploy using Docker Compose

For more details on deployment, refer to the documentation⁠.

⁠Deploy on Kubernetes cluster using Helm 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.