Problem
Rule-based systems create maintenance overhead as defect variety increases and may remain limited with complex faults. In applications with high product variation, keeping decisions consistent becomes difficult.
SOLUTION DETAIL
AI & Deep Learning
Go beyond rule-based inspection with AI models that learn complex defect patterns.
Visiomex AI and deep learning solutions deliver more flexible decision-making where classical vision methods struggle with visual variation.
System Structure
Camera, lighting, decision logic and automation integration form the core layers of the solution architecture.
Solution
Visiomex manages data collection, labeling, model training and field validation within a single project flow. This allows the system to separate defects that are difficult for classical methods with greater accuracy through a learning-based approach.
Outcome
AI-powered inspection enables more flexible defect detection, fewer false rejects and stronger process adaptability.
Benefits
- Stronger detection of complex defects
- Lower false reject rates
- Better adaptation to product variation
- Continuously improving inspection logic
Related Technologies
Deep learning modelsData labeling infrastructureGPU-based trainingField validation workflowModel update management
Use Cases
- Difficult surface defects
- Products with natural variation
- Print and visual quality analysis
- Defects that are hard to separate with classical methods