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Castor software identifies parts suitable for 3D printing based on 2D drawings

The latest advancement to Castor’s parts-identification software is the ability to automatically analyze 2D drawings and recommend whether the part the drawings depict is suitable for 3D printing. The company claims this innovation is especially helpful to manufacturers that base their parts-processing decisions on 2D PDF drawings.

Castor’s 2D analysis software automatically identifies whether a part is a good candidate for 3D printing by comparing 2D drawings of the part to thousands of existing drawings and performing geometric and economic analyses.

The technology behind the company’s eponymous 2D analysis method is based on:

  • Computer vision that interprets the geometry and product manufacturing information of each part.

  • Machine-learning models that have gained deeper insights and improved over time due to the vast number of parts that are uploaded to Castor daily.
    • Automation of the time-consuming, complex process required to manually analyze large number of parts.