Introduction: Automated AI visual inspection and virtual metrology platform with industry-leading accuracy.
Added on: Jan 21, 2025
Averroes Ai Automated Visual Inspection

What is Averroes Ai Automated Visual Inspection

Averroes AI provides an end-to-end automated visual inspection platform that leverages advanced image processing and machine learning to deliver highly accurate defect detection across various industries. The platform is designed to integrate seamlessly with existing inspection systems, offering no-code solutions for training and deploying custom AI models.

How to Use Averroes Ai Automated Visual Inspection

  1. Create: Start by setting up your inspection project.
  2. Upload: Upload images for analysis.
  3. Label: Label defects or areas of interest.
  4. Train: Train your custom AI model using the labeled data.
  5. Deploy: Deploy the trained model for real-time inspection.

Use Cases of Averroes Ai Automated Visual Inspection

The platform is adaptable to industries such as semiconductor manufacturing, electronics, oil and gas, pharmaceuticals, food processing, and solar panel inspection. It enables automated quality control, reducing manual inspection time and improving product quality.

Features of Averroes Ai Automated Visual Inspection

  • Industry-Leading Accuracy

    Achieve 99%+ defect detection and 98.5%+ object detection rates with near-zero false positives.

  • No-Code Simplicity

    Train and deploy custom AI models without requiring programming skills.

  • Continuous Learning

    The AI improves accuracy over time through active learning capabilities.

  • Flexible Deployment Options

    Choose between secure on-premise or scalable cloud-based solutions.

FAQs from Averroes Ai Automated Visual Inspection

1

Does Averroes require us to buy a camera or new hardware?

No. Averroes functions seamlessly on existing visual inspection equipment, leveraging advanced computer vision technology.
2

Does Averroes work with existing inspection equipment?

Yes, it integrates with existing systems without requiring additional hardware.
3

What's your pricing model?

The pricing model is not explicitly mentioned in the provided content.
4

How many images do you need for a classification model with accuracy in the upper 90s?

The platform requires just 20–40 images per defect class to achieve high-quality visual assessments.