Data Annotation Solution for Automated Surface Inspection

Building a reliable defect-detection system begins with high-quality, annotated data. With our platform as its foundation, Convirzon offers a dedicated application aimed at manufacturing surface inspection. The solution relies on algorithm-driven models for automation, enhanced by subject-matter expert annotations to ensure accuracy.

Core Components

Algorithm-Based Models

The application supports automatic surface inspection across a variety of materials and industries: steel, ball bearings, automotive components, stone and marble slabs, and more.

Industry Taxonomy

A taxonomy is built on standards such as ISO 8501-3:2006 (which addresses the visual assessment of steel surface cleanliness) and other relevant frameworks, ensuring consistency in inspection categorization.

Quick-Start Setup

You can begin using the solution even without existing models, or you can integrate your own pre-trained models into the workflow.

Active Learning System

Subject-matter experts participate in the loop to continuously refine the annotation and defect-detection process, enhancing model performance over time.

Key Advantages

Faster Time to Value

Rapid model training enables teams to modify manufacturing stages or move forward with new product launches more quickly.

Flexible Solutions

Whether you use the provided model and platform or bring your own, the system adapts accordingly.

Model Deployment Versatility

Models can be deployed across a range of environments—from factory-floor systems to edge devices—depending on what works best for your operations.

Additional Features

Real-Time Notifications

Defect instances are flagged as soon as they’re detected, allowing for prompt corrective action. You can adjust the notification timing and sorting logic.

Edge-Case Management

The system identifies and logs edge cases and non-standard errors, building a repository that helps understand the dataset’s nuances and improve model robustness.

Analytics Dashboard

Users can see defect severity, frequency, cost, and resolution time. These dashboards support decision-making around production efficiency and quality.

Workflow & Customization

Creating the correct annotation workflow is key to training and testing defect-detection or automated surface-inspection models. Convirzon created its workflow to allow flexibility. It lets teams adjust the data-labelling pipeline and continue refining processes at scale.

Typical Use-Cases

Ball Bearings

Detect surface defects, cracks, misalignment, or dimensional inaccuracies during manufacturing.

Vehicle Inspection

Identify tire wear, rim cracks or deformation, damaged spokes, or alignment problems that affect vehicle safety and performance.

Stone & Marble Slabs

Find issues in slabs—chips, cracks, scratches, pits, or blemishes—that compromise quality in finishing or installation.

Getting Started

In manufacturing environments where high-quality annotation must happen fast, this offering blends automated and manual annotation with domain expertise—enabling annotated data ready for production sooner.