AI & Generative Tech · Manufacturing

Computer Vision Quality Control

AI-powered computer vision system for automated quality control in manufacturing. Detects defects in real-time with 98% accuracy, processing 1,000+ products per minute. Reduces inspection time by 90% and false rejection rates by 60%. The system uses deep learning models trained on millions of product images to identify defects, scratches, misalignments, and quality issues. Our solution has been deployed across 30+ production lines, consistently outperforming human inspectors in both speed and accuracy. The platform integrates with production systems to automatically reject defective products and provide real-time quality metrics.

QualityAI Vision: Computer Vision Quality Control
Client
QualityAI Manufacturing
Sector
Manufacturing
Scope
AI & Generative Tech
Timeline
9 months

Outcomes

Inspection time
−90%
The challenge

What we had to solve

The solution

What we built

98% accuracy in defect detection, processing 1,000+ products/minute, reducing inspection time by 90%, deployed across 30+ production lines

  1. Before: Real-time processing at production line speeds

    After: Deployed optimized models on edge devices

  2. Before: High accuracy across diverse product types

    After: Trained ensemble models for diverse products

  3. Before: Edge computing constraints

    After: Implemented efficient edge computing architecture

  4. Before: Integration with existing production systems

    After: Built flexible integration framework

  5. Before: Model retraining and updates

    After: Created automated model update pipeline

Also in the build

  • Real-time defect detection

  • Computer vision algorithms

  • Automated quality scoring

  • Production line integration

  • Historical defect analysis

  • Alert system for anomalies

  • Quality reporting dashboard

  • Integration with MES systems

  • Edge computing support

  • Multi-product support

  • Calibration tools

  • Performance analytics

How we worked

The stack behind it

Delivered over 9 months.

Technologies

Python · TensorFlow · OpenCV · PyTorch · YOLO · NumPy · React · Node.js · PostgreSQL · Redis · AWS · Docker · Kubernetes · MQTT · Grafana · MLflow · NVIDIA Jetson

Built with

The Digiboffins services we worked through. Each one you can start with on its own.

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