DAVID Laserscanner is a software package for low-cost 3D laser scanning. It allows scanning and digitizing of three-dimensional objects using a camera (e.g. a web cam), a hand-held line laser (i.e. one that projects a line, not just a point), and two plain boards in the background. The software generates 3D data in real time and shows them on the computer screen while the laser line is swept over the object by hand (like a virtual brush). The line may be swept over the object multiple times, until the results are satisfactory.
David Laser Scanner Full Version
Abstract:Over the last few years, 3D imaging of plant geometry has become of significant importance for phenotyping and plant breeding. Several sensing techniques, like 3D reconstruction from multiple images and laser scanning, are the methods of choice in different research projects. The use of RGBcameras for 3D reconstruction requires a significant amount of post-processing, whereas in this context, laser scanning needs huge investment costs. The aim of the present study is a comparison between two current 3D imaging low-cost systems and a high precision close-up laser scanner as a reference method. As low-cost systems, the David laser scanning system and the Microsoft Kinect Device were used. The 3D measuring accuracy of both low-cost sensors was estimated based on the deviations of test specimens. Parameters extracted from the volumetric shape of sugar beet taproots, the leaves of sugar beets and the shape of wheat ears were evaluated. These parameters are compared regarding accuracy and correlation to reference measurements. The evaluation scenarios were chosen with respect to recorded plant parameters in current phenotyping projects. In the present study, low-cost 3D imaging devices have been shown to be highly reliable for the demands of plant phenotyping, with the potential to be implemented in automated application procedures, while saving acquisition costs. Our study confirms that a carefully selected low-cost sensor is able to replace an expensive laser scanner in many plant phenotyping scenarios.Keywords: low-cost sensors; 3D imaging; David laser scanning system; Microsoft Kinect; parameterization; close-up scanning
In the agricultural context, laser scanning devices were commonly used for, e.g., kinematic in-field scanning of pear trees [17], 3D modeling of the canopy of tomato plants using different points of view [18] or for the estimation of biomass in different crops [13,19]. In these applications, a very coarse measuring is sufficient. To get a more detailed view on the properties of plants, highly resolved and highly accurate laser scanners are requisite for the observation of the smallest structures [20] and deformation effects, such as wilting [21]. Thus, there is a compelling demand for low-cost 3D imaging techniques for plant phenotyping platforms. However, as stated by [22], there is still a trade-off between the efficiency of image analysis and the costs for a sensor system with adequate plant trait extraction accuracies.
Shifting the laser plane vertically enables an illumination of the complete object. The measuring scene could be reconstructed using 30 frames per second. The David system is able to capture the shape of solid and unmoved objects from a single viewpoint. For the full 3D shape, the surface parts need to be referenced by the David software registration routines [24]. As a priori knowledge, the angle of the rotation was provided, specifying a rotation only around the vertical axis. The output of the software is a meshed 3D point cloud that combines single scans from different viewpoints.
A comparison study of different 3D low-cost laser scanners needs a reliable validation measurement. For this purpose, a commercial 3D laser triangulation system was used with a line laser scanner (Perceptron Scan Works V5, Perceptron Inc., Plymouth, MI, USA), coupled to an articulated measuring arm (Romer Infinite 2.0 (1.4 m), Hexagon Metrology Services Ltd., London UK; Figure 1C; Table 1). The measuring combination has been proven regarding its applicability for scanning the geometry of tree roots [35], grapevine and wheat [9]. The system has an accuracy of 45 μm within a 2D scanning field with a depth of 110 mm and a mean width of 105 mm. This scanning field is manually moved over the surface of the object. The single scan lines were combined automatically to a complete and almost occlusion-free 3D model of an object. The point cloud was meshed using Geomagic Studio 12 (Raindrop Geomagic Inc, Morrisville, NC, USA).
If you want to go to the next level in terms of quality, you can invest in a desktop 3D scanner. This one is compact, easy to use, and has good resolution, especially considering its cost. This scanner is great for educational or demonstration purposes, but it is not an advanced 3D device. The scanning process uses laser beams and an automatic turntable. It takes about five minutes and captures textures as well.
The professional 3D scanner is an improved version of its predecessor, the EinScan SE. Indeed, this new machine is more accurate and quite faster. This 3D scanner is for experienced users and professional purposes. It offers different scan modes, and a precision less than 0.05 mm.
The 3D scanner HD is developed by the manufacturer Next Engine. It is a nice laser 3D scanner, including a nice automatic turntable, which allows to capture the whole object. Using this 3D scanner, the process is quite slow, about 10 minutes per 3D scan.
This scanner uses a technology different from that of most 3D scanners: instead of a dual laser scanning system, it relies on lighting and a camera system to quickly capture scans, with great speed and a very high level of detail, down to 0.06 millimeters! The scanner comes with the DAVID Pro Edition 3 software, which edits OBJ, STL and PLY model files that can then be exported to other software for further processing.
Der David-Laserscanner ist ein Softwarepaket, mit dessen Hilfe sich ohne spezielle Hardware Laserscanning betreiben lässt, also dreidimensionale Modelle von Objekten erfasst werden können. Außer der Software und einem Windows-PC werden lediglich ein Linienlaser und eine Webcam benötigt.
Introduction: Three-dimensional (3D) scanners are widely used in medicine. One of the applications of 3D scanners is the acquisition of anthropometric dimensions for ergonomics and the creation of an anthropometry data bank. The aim of this study was to evaluate the precision and accuracy of a modified 3D scanner fabricated in this study. Methods: In this work, a 3D scan of the human body was obtained using DAVID Laser Scanner software and its calibration background, a linear low-power laser, and one advanced webcam. After the 3D scans were imported to the Geomagic software, 10 anthropometric dimensions of 10 subjects were obtained. The measurements of the 3D scanner were compared to the measurements of the same dimensions by a direct anthropometric method. The precision and accuracy of the measurements of the 3D scanner were then evaluated. The obtained data were analyzed using an independent sample t test with the SPSS software. Results: The minimum and maximum measurement differences from three consecutive scans by the 3D scanner were 0.03 mm and 18 mm, respectively. The differences between the measurements by the direct anthropometry method and the 3D scanner were not statistically significant. Therefore, the accuracy of the 3D scanner is acceptable. Conclusion: Future studies will need to focus on the improvement of the scanning speed and the quality of the scanned image.
What are 3D Scanners?There are multiple types of 3D Scanners for different purposes. However, any device that has the capability to assess and measure the physical world with the use of lasers, lights or x-rays and generates dense point clouds or polygon meshes is to be considered a 3D scanner. ETS has an array of 3D Scanners including the NextEngine and DAVID scanner. Depending on the nature of the project, we might recommend the most suitable scanner to best fit your needs.How does 3D Scanning Work?The scan data retrieved with the help of the 3D Scanner can be observed with a digital scale model or a 3D graphical rendering. Dimensions of the physical object can be determined with the scan data, such as length, width, height, volume, feature size, feature location, surface area, etc.A bridge can be drawn between physical objects and modern manufacturing with the 3D scan data. We can achieve so by converting the data into computer-aided design (CAD) models, using it to compare against the "as-designed" ideal of the part, or using it in the seemingly infinite number of computer-aided engineering (CAE) tools available.EditingIf you feel you have maximized the quality of your 3D scan within ScanStudioHD, but still need to make modifications to your model, you could use another 3D modeling program like Autodesk fusion 360 or Meshmixer. Both of these editing programs (and more) are available at the studio.
Structured Light Scanning uses a video projector instead of a laser. Advantages: No 90 corner required during scanning. No manual laser movement. Much faster scanning. Turntable support for fully-automated 360 scanning.
The mightiest software package is the HP/ DAVID 4 ENTERPRISE version. Besides the well known HP/ DAVID features it offers you several measurement tools to make capable quality inspections. To automate those features, a main part of this version is HP/ DAVID SDK. It allows you to include HP/DAVID into your own hardware/software environment. You can automate the scanning and analysis process, or wrap it into your own graphical user interface. Multiple scanners and client software can be distributed over various computers and operating systems, communicating via Ethernet or Internet.
3D scanning at home was nearly impossible without expensive pro equipment or DIY setups, until now. Consumer-grade scanners have arrived, based on two main depth-sensing technologies. Triangulating laser scanners project a laser line on the object, record it with a camera, and compute the triangulated position of the surface. Structured-light scanners project a pattern onto the object and calculate depth by measuring distortions in the pattern. We tested one of each to see how they work. 2ff7e9595c
Comments