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In this usecase application, PCB board model images trained on MECM which includes defective image categories as well as non-defective images and then trained models uploaded to MEC hosts. From a real time camera, various images of PCB can be captured and uploaded to MEC hosts to detect the defectiveness if present.
Then from our PCB usecase UI , defect detection mechanism can be triggered which will connect to the EALTEDGE MEC platform to identify the defectiveness. EALTEDGE process the defects and intimate the MECM for further analysis. Then post defect detection, those with the defects are sent back to PCB UI for enduser verification.
Please refer the https://gerrit.akraino.org/r/ealt-edge to get to know more about how the platform gets deployed. Please do refer our latest release documents for further information
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