4/4/2023 0 Comments Deltacad cost![]() The CAM package will offset the cut to the outside of the polyline. I used a 60 degree V bit (0.2 mm cut depth for isolations) and a 0.72 mm end mill for the holes and the cutout. Run the macro (BMP2DC2) to import the BMP into DeltaCad. Mirror the image (as this is a top view) and convert to 24 bit BMP: The only borrowed code was the BMP Preview file manager code that came from the Cyress Enable website:Ĭonvert to PCB (you will need this for component placement later): If you wondering it took three solids weeks to write this macro from scratch! don't have anything on the border).Ĭypress Enable is pretty slow, a lot of time was spent making the code efficient (all algorithms are linear or nLogn). Note: All outlines are closed, to do this a one pixel border has been imposed/cleared (i.e. If black outline may appears then number of segments is too high (>3072) for a shape. The macro uses shapes (Blue for clockwise (or an outside edge) and Red for anti-clockwise (or an inside edge)). 6.2 Press Okay7 Depending on the PCB complexity after a few minutes the macro will update the screen with the result. 5.2 Press Okay6 Depending on the BMP file size, after a few seconds another menu will appear: 6.1 Select your options (note: the pixel spacing is in mm per pixel and is used to scale the output to DeltaCad). (the macro file manager will allow you to navigate anywhere to find your BMP)4 Run the macro (mine is call BMP2DC.BAS).5 The BMP File Viewer will appear: 5.1 Select a BMP file (a preview will appear). Okay, how to use: 1 Convert your PCB image into a 24 bit uncompressed BMP.2 Try an get it as Black and White as possible using an image processing software.3 Put the macro in a directory (where you can find it). Really, writing the macro was just for fun! Why not use an online 'Image to Vector' program? ![]() it does not remove all the copper) so its called an "Isolation". As it only traces the outline of the PCB tracks (i.e. The four cameras allows us to explore the limitations of camera distance, angle, frame rate, and image quality.Basically its macro that converts a printed circuit board (PCB) image into outlines that can be used by a CNC machine to make a copy of the board. The camera in the gully was in operation in 2014 which managed to record granular flows and rockfalls, which particle tracking may be more appropriate for velocity measurements. During the monitoring program (since 2011) we recorded three debris flow events at the sediment trap area (each with very different surge dynamics). Calculated velocities can easily be checked manually because of the already orthorectified images. With the orthorectified images, we used the freeware Fudaa-LSPIV (developed by EDF, IRSTEA, and DeltaCAD Company) to generate the LSPIV calculations of the flow events. We decided to use IMGRAFT (an opensource image georectification toolbox) which can correct distorted images using reference points and camera location, and then finally rectifies the batch of images onto a DEM grid (or the DEM grid onto the image coordinates). Before LSPIV can be used, the highly distorted images need to be corrected and accurate reference points need to be made. The fourth camera is located in an active gully, the camera is activated by a rain gauge when there is one minute of rainfall. These three cameras are connected to a field shelter equipped with power supply and a server collecting all the monitoring data. The third camera is in the next reach upstream from the sediment trap at a closer proximity to the flow. Two cameras are located in a sediment trap located close to the alluvial fan apex, one looking upstream and the other looking down and more perpendicular to the flow. ![]() The Gadria debris flow monitoring catchment in Val Venosta (Italian Alps) has been equipped with four MOBOTIX M12 video cameras. This technique still needs to be thoroughly explored in the field of debris flow studies. Large scale particle image velocimetry (LSPIV) is a technique mostly used in rivers to measure two dimensional velocities from high resolution images at high frame rates.
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