Login Sign Up

Create a Component Anomaly Detection Model using Visual Inspection AI

Google Cloud via Coursera

Coursera based on 0 ratings

Share

0

Overview

Creating a component anomaly detection model using Visual Inspection AI involves developing an automated system that identifies defects or irregularities in components through image analysis. This process leverages advanced computer vision and machine learning techniques to inspect parts in manufacturing, quality control, or maintenance workflows without manual intervention. The model is trained on labeled images of components, including both normal and defective samples, enabling it to learn distinguishing features of anomalies such as cracks, scratches, missing pieces, or deformities. Visual Inspection...

Syllabus

  • Create a Component Anomaly Detection Model using Visual Inspection AI
Create a Component Anomaly Detection Model using Visual Inspection AI
Go to Class

Google Cloud via Coursera

1 hour 30 minutes

Paid Certificate Available

English

On-Demand

Beginner

Instructor

Google Cloud Training

Reviews

No reviews yet. Be the first to review!