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This sample application demonstrates how to use AI at the edge to identify defects in manufacturing environments by analyzing both image and time series sensor data
Note: The tags suffixed with
-weeklyand-rcXare developmental builds, may not be stable.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
For more details on deployment, refer to the documentation.
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
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.
Content type
Helm
Digest
sha256:972a418e4…
Size
63.3 kB
Last updated
27 days ago
helm pull oci://registry-1.docker.io/intel/multimodal-weld-defect-detection-sample-app --version 2026.1.0Pulls:
1
Last week