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"BOM Vision" is an intelligent machine vision product that interprets atypical images and eliminates unnecessary detection with high accuracy, increasing efficiency and facilitating multi-item inspection and change of inspection items

  • Utilizing various technologies such as machine vision algorithms for optimal deep learning models
  • 4IND's self-developed learning method and GPU computing technology are utilized for optimal analysis
  • Provides continuous performance improvement through inspection result reporting and result analysis
BOM Inspection
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What is vision inspection in a smart factory?
Various defect detection and cloud-based services using deep learning
Process of developing vision solutions for smart factory
1
Image Extraction

Obtain normal and faulty images for training/testing

2
Image Classification

Classify imported images for training/testing purposes

3
Labeling

Utilize the tool to mark defects in images

4
Model Creation

Set the training conditions and design a suitable deep learning model

5
Testing

Run tests through the trained model and see the results

6
Model finalization

Extract the generated deep learning model and integrate it with existing inspection tools