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Visual Inspection AI

Visual Inspection AI

 

This instructor-led course provides partners the skills to scope, design, and deploy Visual Inspection AI solutions for enterprise customers utilizing use-cases including Assembly Inspection, which checks that components in the right order and are defect free, and Cosmetic Inspection, which identifies defects including scratches, dents, irregularities on surfaces.

What you will learn:

  • Describe Google Cloud visual inspection architecture
  • Define best practices for capturing visual inspection data
  • Highlight visual inspection process: data preparation, model training, model evaluation and model deployment for prediction

Who this course is for?

  • Partner Engineer

 

Prerequisite

  • Experience Enabling Google Cloud API’s
  • Familiarity with managing and deploying docker container images

 

Course Outline

  • Module 1: Architecture
    • Choose an appropriate visual inspection solution
    • Evaluate the need for multi-model solutions
    • Estimate the time required for model creation
  • Module 2: Assembly Inspection
    • Evaluate image quality for use as an assembly image template
    • Explain the purpose of the alignment model
    • Prepare the model by defining component inspection areas
    • Analyze the errors during model evaluation
    • Measure the accuracy of the model
    • Create and serve an assembly inspection container
  • Module 3: Cosmetic Inspection
    •  Evaluate image quality for use as a cosmetic inspection image template
    • Prepare the model by defining cosmetic inspection areas
    • Analyze the errors during model evaluation
    • Measure the accuracy of the model
  • Module 4: Deployment
    • Estimate the resource requirements for the container
    • Discuss the design considerations for the Kubernetes cluster
    • Propose a plan for container deployments
    • Serve a solution artifact
    • Send predictions to solution artifact
  • Module 5: Management and Monitoring
    • Define the purpose of each monitoring metric
    • Review error counts
    • Calculate the accuracy of the model
    • Describe how to improve the accuracy of the model
  • Module 6: Course Conclusion
    • Breakdown of module learning objectives
  •  

 

Jadwal Training

Tanggal Pukul Biaya (per pax; belum termasuk VAT 10%) Trainer Venue Daftar
TBA TBA Rp 19 juta Satria Yuda Utama Online TBA
TBA TBA Rp 19 juta Satria Yuda Utama Online TBA
TBA TBA Rp 19 juta Satria Yuda Utama Online TBA
TBA TBA Rp 19 juta Satria Yuda Utama Online TBA
TBA TBA Rp 19 juta Satria Yuda Utama Online TBA

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