Understanding the basis and risks of AI's judgments. Capable of learning from a small amount of data. Intuitive operation without the need for AI knowledge. Achieving continuous quality management that does not end with a PoC.
The practical "visual inspection AI" for manufacturing sites allows for high-precision learning and operation from a small amount of data with intuitive operation. It is a user-friendly and effective AI tool for site managers.
Target Industries:
Manufacturing (semiconductors, foundry, automotive, processed foods) / Chemicals / Pharmaceuticals
Target Audience:
- Production Management Department: Planning and managing production, improving production efficiency, reducing defective products
- Production Technology Department: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies
- Quality Control Department: Inspecting product quality, detecting and addressing defects, establishing quality assurance processes, confirming compliance with standards
- DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis
- Companies that have already introduced image inspection machines and face challenges with over-detection
Main Features:
- Intuitive operation: No AI knowledge required. Easy from AI model creation to operation and quality management.
- Learning from a small amount of data: Domain-specific data augmentation technology generates training data tailored to the on-site environment.
- Quality management through visualization: XAI technology visualizes the reasoning behind AI decisions, making model improvement easier.
- Quality verification for AI: QAAI enables quality verification of data and models, visualization, and management of change points.