# Stationary 3D Scanning System for IoT Applications
## 2 Review of the Literature  
Publication [4] describes 3D scanning technology and its application in Industry 4.0. Information about the advantages of 3D scanners in capturing detailed geometries, assessing product features, and their potential for further development is given. The most important application can be reverse engineering. Paper [5] presents the design of a low-cost 3D scanner based on structured light, used for cultural heritage artifacts. The authors did not use a laser sensor as in the proposed solution. The scanner is characterized by medium-high accuracy, ease of use, affordability, safety, etc. Its effectiveness is demonstrated through the 3D acquisition of an archeological statue. Publication [6] shows the 3D scanning capabilities of Apple's LiDAR system and TrueDepth technologies in comparison to an industrial 3D scanner. Based on the conducted research, it can be concluded that while the industrial scanner provided more accurate results, the LiDAR-based system in a smart device offers sufficient accuracy and enables low-cost and mass customization. In the next publication [7], the authors described methodologies for the 3D scanning of historical clothing. It can be concluded that the describing field is under-researched. Publication [8] demonstrates the performance of a low-cost 3D scanner capable of capturing images simultaneously from all angles around an object. Importantly, unlike the system described in this paper, it is designed specifically to scan large elements. In reconstruction engineering, digitization is the initial stage of the process, involving data acquisition through the quantization and discretization process [9]. It is divided into two main methods: tactile and noncontact. The second of these is also divided into three subcategories: electromagnetic, acoustic, and optical [10]. Publication [11] describes the use of scanning with the use of optical triangulation, in which infrared light is emitted, then recorded by an IR receiver, which, as a light-sensitive element, replaces a digital camera. Measurement is carried out by the appropriate processing of the analog output signal provided by the sensor. Scanning is performed by measuring the distance between the rangefinder (infrared sensor) and a fragment of the surface of the scanned object. The scanned object is placed on a rotating base located at a specific, fixed distance from the sensor lens, which at the same time introduces dimensional restrictions on the object. Recorded survey points with specific coordinates form a grid of points called a point cloud, which is used to generate complete, uniform 3D models. The created mesh can be made available in the form of a text file generated from a window application, which is an additional control element of the entire 3D scanning system. Publication [12] describes the construction of a laser scanner for small objects. The described 3D scanning system is based on a handheld laser projector and a fixed camera. The reconstruction of objects is conducted on the basis of an analysis of laser line intersection points. The system was optimized for use in the air and underwater. According to the presented research, object reconstruction is based on information from the position of the laser sensor and only one point is analyzed at a time. Publication [13] analyzes the influence of various factors on the quality of the scanning. These include distance, the angle of incidence of the laser beam, and surface properties. The research is relevant to the accuracy of laser scanners used in various fields and laboratory conditions. In the mentioned articles, cameras and structured light were often used for scanning. The use of vision systems can complicate the implementation process on a microcontroller. For this reason, the authors decided to use infrared sensors.