Automated Quality Control System
Detecting defects in automotive parts with higher precision than human inspection
Key Results
AutoParts Manufacturing is a tier-1 automotive supplier producing critical safety components for major automotive manufacturers worldwide.
Quality control in automotive manufacturing is critical, especially for safety components. Human inspectors were achieving only 92% accuracy in defect detection, and the inspection process created a significant bottleneck in production. With increasing production volumes and stricter quality requirements from automotive manufacturers, AutoParts needed a solution that could inspect parts with near-perfect accuracy at production line speeds.
Cattt AI Studio developed an automated quality control system powered by edge AI and computer vision technology. The solution includes: 1. High-resolution cameras installed at strategic points on the production line 2. Edge computing devices running specialized computer vision algorithms 3. Real-time defect detection with sub-millimeter precision 4. Automated sorting system for defective parts 5. Quality analytics dashboard for monitoring and continuous improvement
Our Process
Requirements Analysis
Worked with quality engineers to understand defect types and inspection requirements
System Design & Development
Designed the hardware setup and developed custom computer vision algorithms
Training & Calibration
Trained the system on thousands of sample parts with various defect types
Production Integration
Integrated the system with the production line and optimized for real-time performance
"The automated quality control system has exceeded our expectations. We're detecting defects that human inspectors would miss, and our production throughput has increased dramatically."
Jennifer Park
Manufacturing Director, AutoParts Manufacturing
Technologies Used
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