Previous Inspection Method:

• The company relied on manual visual inspections to detect defects in the appearance of fittings.

Challenges of Manual Inspections:

• Human limitations affected the process:
  • Prolonged focus
  • Subjective judgment
  • Fatigue

Detection of Defects:

• Obvious defects (e.g., size or shape inconsistencies) were easier to identify.
• Subtle issues (e.g., slight color variations or minor shape anomalies) often went unnoticed.

Consequences:

• Inconsistent inspection outcomes:
  • Some defects were missed.
  • Others were over-detected.
• This inconsistency compromised production efficiency and overall product quality.

Integration of AMspect®:

• The QC team incorporated the AMspect® system into their production line.

Advanced Inspection Capabilities:

• AMspect® utilizes deep learning algorithms for:
  • Real-time, automated inspection
  • Accurate identification of defects, including:
    • Forming issues
    • Damages
    • Color inconsistencies
  • High-speed performance

Elimination of Human Error:

• The system removes subjective judgment and human error, ensuring:
  • Consistent and reliable inspection results.

Benefits of Enhanced Detection:

• Improved product quality and production efficiency:
  • Reduction in defects
  • Minimization of waste

Continuous Process Optimization:

• Data collected by AMspect® supports ongoing process improvements.
• Reinforces the company’s commitment to high-quality standards and meeting increasing market demand.