Artificial Intelligent Defect Generator - AIDG

Quickly generate high-fidelity defect images in batches based on real defect materials

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Artificial Intelligent Defect Generator - AIDG

AIDG is an intelligent sample generation software based on generative AI technology, which can address the issues of model training and validation difficulties and poor model indicators caused by insufficient image data during the process of deploying AI for industrial inspection. It can quickly generate high-fidelity defect images in batches based on real defect materials. This helps users efficiently obtain the samples needed for AI model construction and validation, and improve the model's generalization ability and adaptability, and reduce the data cost of obtaining high-quality models.

Product Highlights
High fidelity in generated samples
  • Combining the pre-trained model based on years of industrial defect detection expertise with the StableDiffusion framework, it can adapt to various scenarios such as complex defect structures, background variations, and defect edge processing, accurately reproduces authentic defect textures, depth, and color details, enabling direct use in model development.
Flexible and efficient generation method
  • Only 1-5 real samples are needed to generate simulation images in 2 steps. Support batch generation, automatic generation, parameter generation, and combination of multiple defect types to ensure rich and balanced samples.
Support the accumulation and storage of defect materials
  • Support the accumulation, transfer, and reuse of defect materials; Provide an online material library with rich industry-specific defect materials, shorten the data acquisition time; can be utilized even with zero samples.
Application Scenarios
Application Scenarios
  • High production line yield and long defect sample collection cycle

    When building AI models, low occurrence probability of defect samples results in prolonged collection times to meet target quantities. AIDG can generate defect images for use as training or testing datasets, enabling the rapid development of high-quality model

  • New defect types require model iteration

    When new defect types emerge on production lines, leading to over-detection or missed detection, AIDG can generate batches of defect images from a small number of over-detected or missed samples. These images can be used for AI model training and testing, ensuring quick model upgrades.

  • Frequent model changes require accelerating model deployment

    During product transitions on production lines, AIDG can generate simulated defect data by transferring previously observed defects from old products to new ones, accelerating model deployment for new products.

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AIDG Product Manual
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AIDG 2.2.1 Installation Package
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AIDG Installation Guide
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