OPTIMASI PARAMETER 3D SCANNING

Scanner was discovered by Robert S. Ledley in 1943 in New York , United States. This tool is used to produce tomographic images of human body , the scan result is converted into an image by a computer inside picture using x -ray and positron emission obtained from the results of the scan, the tool is then called by Robert S. Ledley, ACTA ( Automatic Computerized Transverse Axial ). The purpose of this research is to create tools for Software David Laser Scanner and analyze and optimize the use of the David Laser Scanner software in order to obtain optimum result. There are two parameters in this research study , the first is the rotation speed of the laser pointer and the number of views of the object being scanned . The tools used to measure these parameters is a tool DAVID LASER SCANNER , calibration box , turntable and camera webcams . Data processing is done by the method of calibration and calculation of the number of errors from the scan results along with David Laser Scanner tool. Parameters can affect the number of viewpoints average error value David Laser Scanner for slow speed on the object view of the pyramids at 2 : 2.54% , 4 views : 4.02 % , 8 views : 4:52 % and for medium speed 2 views : 2.2628 % , 4 views : 2.0151 , 8 views : 3.0903 % . the greater number of points of view in - fuse , the greater the error value is obtained . But for a certain number of viewpoint conditions did not significantly affect the value of the error at the time of scanning , such as when scanning 4 pyramid viewpoint . Parameters of the laser pointer rotation speed can also affect the average value of the error David Laser Scanner for slow speed object octagonal prism of 4 views : 3.71 % , 8 % and 6:25 outlook for medium speed 4 views : 3.04 % , 8 views : 5:04 % , the faster the laser pointer round the smaller value of the average error of the pyramid . However, above a speed of 15 ° / sec , David Laser Scanner can not scan the object to be scanned . from this study also found the distance between the camera and the object does not affect the average value of the error scan results and resolution of the camera does not affect the average value of the error scan results