Surface Data Visualization

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Customer

This is an Industrial Automation and Robotics Solutions provider company, especially in the manufacturing sector in the market of UAE and the Middle East.

Project Details

  • Duration: 2+ Months

Technologies:

  • Python
  • MSSQL
  • Plotly
  • PyQT
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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.
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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.

CSV Report
Deepest points in each cathode.
Average depth, standard deviation, etc.

Implementation-Challenges

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

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.

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