There has been a growing demand for creation of computer models based on real models for engineering projects. A cheap and effective alternative consists in using Computer Vision techniques based on cameras and projectors available at the personal computer market. This work evaluates a stereo optic system for capturing geometric shapes from objects using a pair of cameras and a single digital projector. The system is based on former works and a pair of contributions is obtained at this dissertation. The first contribution is a more robust technique for finding corners and points at cameras calibration patterns. And the second one consists on a new method for cylinder fit for inspecting industrial piping facilities with the studied system. The final conclusions evaluate the robustness and precision from the proposed system as a measurement tool for Engineering.