Brain-Sense™ Technology Platform

Computer Vision for Defect Detection

Brain-Sense™ is the proprietary Mindtrace AI platform for manufacturing defect detection. It provides manufacturers with fully automated, highly accurate, defect detection with significant advantages:

  • Detects defects faster and more accurately, reducing escapes and improving yield
  • Operates 24/7/365 without fatigue
  • Delivers cost savings compared to manual inspections

Brain-Sense™ Technology Platform

Computer Vision for Defect Detection

Brain-Sense™ is the proprietary Mindtrace AI platform for manufacturing defect detection. It provides manufacturers with fully automated, highly accurate, defect detection with significant advantages:

  • Detects defects faster and more accurately, reducing escapes and improving yield
  • Operates 24/7/365 without fatigue
  • Delivers cost savings compared to manual inspections

With Mindtrace

90

Fewer Images

80

Cost Reduction

98

Gage R&R Score

Brain-Sense™ AI Brain Bank

The core of Brain-Sense™ is a Brain Bank of AI data models that are pretrained to recognize a wide range of manufacturing defects. As a result these “brains” can be rapidly customized for each customer’s unique needs with minimal additional. 

The Brain-sense™ platform provides manufacturers with rapid pass/fail decisions and uses less processing power than other computer vision platforms, while still delivering faster start-ups and more flexible change management than traditional rules-based, machine vision platforms.

Key Capabilities of Brain-Sense™​

Brain-Sense™ incorporates powerful, proven AI techniques into a unified, practical platform for manufacturing defect detection.

Fast & Efficient Training

  • Few-Shot Detection – Achieves high accuracy with as few as 20 images, minimizing data collection and training time.
  • Transfer Learning – Adapts pre-trained AI “brains” to new tasks quickly, accelerating deployment.

Smarter Over Time

  • Continuous Learning – Models adapt to new parts, processes, and defects without retraining from scratch.
  • Self-Supervised Learning – Improves performance using unlabelled data, reducing reliance on expensive annotations.

Deeper Quality Insights

  • Unsupervised Learning – Detects hidden patterns and insights beyond predefined rules.
  • Deep Attention Learning – Focuses on the most relevant features of each part, improving accuracy and defect recognition.

Fast & Efficient Training

  • Few-Shot Detection – Achieves high accuracy with as few as 20 images, minimizing data collection and training time.
  • Transfer Learning – Adapts pre-trained AI “brains” to new tasks quickly, accelerating deployment.

Fast & Efficient Training

  • Few-Shot Detection – Achieves high accuracy with as few as 20 images, minimizing data collection and training time.
  • Transfer Learning – Adapts pre-trained AI “brains” to new tasks quickly, accelerating deployment.

Smarter Over Time

  • Continuous Learning – Models adapt to new parts, processes, and defects without retraining from scratch.
  • Self-Supervised Learning – Improves performance using unlabelled data, reducing reliance on expensive annotations.

Smarter Over Time

  • Continuous Learning – Models adapt to new parts, processes, and defects without retraining from scratch.
  • Self-Supervised Learning – Improves performance using unlabelled data, reducing reliance on expensive annotations.

Deeper Quality Insights

  • Unsupervised Learning – Detects hidden patterns and insights beyond predefined rules.
  • Deep Attention Learning – Focuses on the most relevant features of each part, improving accuracy and defect recognition.

Deeper Quality Insights

  • Unsupervised Learning – Detects hidden patterns and insights beyond predefined rules.
  • Deep Attention Learning – Focuses on the most relevant features of each part, improving accuracy and defect recognition.
 Turn data into insights
using Inspectra™
Deploy Brain-Sense™
using NeuroForge™
 Turn data into insights using Inspectra™
Deploy Brain-Sense™ using NeuroForge™

Get Started Today

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