Surface Data Visualization

Problem

• Manual inspection of surface pits is highly complex and inefficient.
• Visualizing and interpreting high volume sensor data visualization from laser hardware is difficult. Especially when analyzing thousands of readings for small areas.
• Lack of a user-friendly data visualization platform limits actionable insights. It is for engineers and technicians.

Solution

We developed a desktop-based 3D data visualization and analysis tool for surface pit evaluation.

• Utilizes automated surface inspection techniques. It is to highlight variations in pit depths.
• Integrates 3D surface inspection logic. It visually represents depth levels using a heatmap (deepest in red, shallowest in blue)
• Supports batch-wise filtering and interactive view of specific cathodes.
• Offers the ability to select and explore individual or multiple units.
• The tool can also adapt to automated scanning and inspection workflows. It is developed in alignment with robotics in manufacturing.

Implementation Challenges

• Rendering large datasets quickly and accurately in 3D.
• Mapping depth variations across multiple surface cathodes.
• Building an intuitive UI for high density data visualization applications.
• Ensuring smooth integration with existing laser surface inspection tools.
• Aligning depth data with surface dimensions for meaningful visuals.

Key Features

• Real-time 3D graph rendering from point cloud surface data.
• Intuitive heatmap based display for quick interpretation of depth differences.
• Batch filtering and selection tools for granular analysis.
• Adaptability to laser inputs from laser surface inspection hardware.
• Flexible architecture for future integration with robotics in manufacturing.
• Simplified interface within a powerful data visualization application.