Abstract: High intensity multi-directional FDM 3D printing method for stereo vision monitoring involves intelligent control and computer vision technology. Specifically, it involves multi-directional 3D printing hardware platform construction, stereo vision detection, laser heating to enhance the connection strength between various parts of the model, so as to reduce the use of external support structure as much as possible on the premise of ensuring the printing accuracy, and make the various parts of the model can be well connected to enhance the integrity of the model.

Abstract: A model-adaptive multi-source large-scale mask projection 3D printing system configured to conduct the following steps: projecting pure-color images of first and second colors having identical attributes, capturing an image of an overlapping portion and calculating height and width information of the overlapping portion; splitting a pre-processed slice and respectively recording width and height information of two slices resulting from the splitting and generating two gray scale images having identical attributes thereto; counting power values of identical positions of slices in different gray scale values, performing a further calculation to obtain a projection mapping function, using the projection mapping function as a basis for performing optimization on gray scale interpolation of the generated images; and fusing the processed gray scale images and the originally split two slices to obtain a mask projection 3D printing slice having a uniform shaping brightness, and forming a final product.

Abstract: High intensity multi-directional FDM 3D printing method for stereo vision monitoring involves intelligent control and computer vision technology. Specifically, it involves multi-directional 3D printing hardware platform construction, stereo vision detection, laser heating to enhance the connection strength between various parts of the model, so as to reduce the use of external support structure as much as possible on the premise of ensuring the printing accuracy, and make the various parts of the model can be well connected to enhance the integrity of the model.

Abstract: A model-adaptive multi-source large-scale mask projection 3D printing system configured to conduct the following steps: projecting pure-color images of first and second colors having identical attributes, capturing an image of an overlapping portion and calculating height and width information of the overlapping portion; splitting a pre-processed slice and respectively recording width and height information of two slices resulting from the splitting and generating two gray scale images having identical attributes thereto; counting power values of identical positions of slices in different gray scale values, performing a further calculation to obtain a projection mapping function, using the projection mapping function as a basis for performing optimization on gray scale interpolation of the generated images; and fusing the processed gray scale images and the originally split two slices to obtain a mask projection 3D printing slice having a uniform shaping brightness, and forming a final product.