Geometric Feature Recognition for Reverse Engineering using Neural Networks

1. Point data reduction module.

2. Edge detection module.

3. ANN-based feature recogniser.

4. Feature extraction modules.

This approach was validated with a variety of real industrial components. The test results show that the developed feature-based RE application proved to be suitable for reconstructing prismatic features such as blocks, pockets, steps, slots, holes, and bosses, which are very common in mechanical engineering products. An example is presented to validate this approach.