## 3 Results
### Verification of the Performance of the Improved Prototype Design
The digitizing process involves numerous parameters, each of which exerts a substantial influence on the quality of the surface data obtained. Consequently, it can be deduced that the measured values of the qualitative and quantitative properties of the prototype device, particularly accuracy and precision, are not definitive. The prototype device can be enhanced by adjusting the parameters of the digitization process. In its present state, it is possible to define these parameters to 45 parameters, divided into 29 intrinsic and 16 extrinsic parameters. It is important to note that these parameters can interact in various ways, underscoring the need for a comprehensive and systematic approach to parameter optimization. Intrinsic parameters are defined as the internal settings and characteristics inherent to the scanner hardware, lens, laser, calibration procedure, and software settings. These parameters directly influence the digitization process, independent of external conditions. These include the camera sensor resolution (width W, height H), pixel size (ps), frame rate (FPS), exposure (texp), gain (G), brightness (Bri), contrast (Con), saturation (Sat), sharpness (Sh), white balance (WB), gamma correction (\(\gamma\)), and hue adjustments (Hue). Furthermore, the selection of the lens itself emerges as a critical intrinsic parameter influencing the overall digitization capability, prior to adjusting specific lens parameters such as focal length (f), aperture (f/#), and manual focus distance (Fdist). Intrinsic parameters of the laser module include wavelength (\(\lambda\)), intensity or power (Plaser), and laser line width or focus (Wlaser). Calibration-specific intrinsic parameters derived from stereo calibration procedures include camera focal lengths in pixels (fx, fy), the principal points (cx, cy), and lens distortion coefficients (k1, k2, p1, p2, k3). Furthermore, intrinsic parameters extend to software image-processing thresholds, specifically the HSV threshold ranges for color-based laser point extraction (Hlow, Hup, Slow, Sup, Vlow, Vup). Conversely, extrinsic parameters comprise external adjustments and conditions involving the relative positioning, alignment, and environmental conditions that significantly influence digitization accuracy and reliability. These parameters include the stereo baseline distance (B or Tbaseline), the camera angles and alignment (yaw, pitch, roll: acam, \(\beta\)cam, ycam), the laser positioning and tilt angle (\(\alpha\)laser), and calibration extrinsic parameters such as the rotation matrix (R) and the translation vector (T). Furthermore, extrinsic factors encompass scanning-process parameters such as scanning intervals (tscan), the total number of scans (Nscans), and image-processing morphological kernel size (K), which have been shown to significantly influence data quality. Finally, environmental conditions and scene-specific extrinsic parameters play a pivotal role. These include ambient lighting (Lamb), surface reflectivity (Rsurf), background reflectivity (Rbg), working distance from the object to the scanner (Dobj), and the background's color and reflectance characteristics. Consequently, precise identification, control, and optimization of these intrinsic and extrinsic parameters offer significant opportunities to enhance the accuracy, precision, and overall reliability of the digitization process in the prototype scanning device. An important practical application lies in 3D printing workflows, where the scanner could be deployed to evaluate printed objects for dimensional deviations or layer artifacts. Its markerless, single-position design simplifies in-process or post-print checks, reducing the risk of undetected defects and enhancing overall print quality and consistency.