RoVis – AI That Supports Human Inspectors
With SCIIL VISION, collaboration between people and AI takes visual quality inspection to the next level. Rather than replacing operators, the system acts as an intelligent assistant that supports quality decisions directly on the production line.
At the heart of the solution is RoVis (Robot Vision Assistant)—an AI-powered system for automated defect detection that helps make visual inspections faster, more consistent, and fully traceable across different industries and product types.
AI Detects – People Decide
RoVis reliably identifies potential defects, but experienced operators remain responsible for interpreting the results. Not every detected deviation requires the same action. Some findings are within tolerance, while others require documentation, rework, or customer approval.
Combining AI with human expertise ensures reliable quality decisions while maintaining full control over critical inspection processes.
Training AI with Real Manufacturing Knowledge
Unlike conventional rule-based image processing, SCIIL VISION uses deep learning models that are trained directly in the production environment using examples provided by experienced operators.
Operators simply highlight relevant examples during normal production. The AI continuously learns from these practical examples, creating inspection models that reflect real manufacturing conditions rather than generic datasets.
This results in standardized, transparent, and auditable quality inspections while reducing discussions and ensuring consistent product quality.
Combining Automated and Manual Visual Inspection
SCIIL VISION is designed as a modular solution that combines automated and manual inspection where each delivers the greatest value.
Fully automated inspection stations with RoVis detect dynamic and static product features, while manual inspection stations remain available for validating AI findings, performing complex visual inspections, or applying customer-specific quality criteria.
This flexible approach allows manufacturers to automate routine inspections without losing the expertise of experienced quality professionals.
The Benefits of AI in Visual Quality Inspection
The combination of AI and human expertise creates a quality inspection process that is efficient, repeatable, and fully traceable. By capturing the knowledge of experienced employees and making it available across production, manufacturers can improve process stability, reduce inspection effort, and consistently meet customer quality requirements.
AI-supported visual quality inspection ultimately benefits everyone—from production teams and quality managers to the end customer, who receives products that consistently meet the highest quality standards.