This paper aims to use artificial vision technologies to measure the resin infusion flow variables. In particular, in this paper is used different artificial vision technologies, visible camera to sense the filling process, IR camera to sense the cure process and a projector to show onto the mould whatever interesting information to carry out the manufacturing process. The devices union is called of Artificial Vision Package (AVP). In this work, the AVP is used as an inverse engineering tool. For a given mould, camera and laser mesh it. By the use of this mesh, and optimization tool computes the optimal channel distribution. This channel is projected into the mould for the proper location. In the injection and curing stage, cameras in the visible and infrared spectrum provide information about the goodness of the process.

This work purposes an in-situ calibration experimental method based on Infrared thermography combined to proper heat flux sensors in order to analyze the curing stage in the manufacturing of thermoset composite parts. This method can provide successfully bidimensional data on areas wherever monitoring, measuring or analyzing the thermal transient behavior as well as compute temperature and heat flux gradients. This could be very interesting at the industrial level for large composite parts since can be obtained a greatest monitoring capability, measurement and heat transfer analysis than just by means of use zero-dimensional sensors. Finally, it presents the calibration algorithms to measure the instantaneous heat flux released by a composite part from anywhere itself during its manufacturing.