Publication: Feasibility of 3d scanner based on infra-red ranging sensor
| datacite.subject.fos | oecd::Engineering and technology::Mechanical engineering | |
| dc.contributor.author | Tian, Kailai | |
| dc.date.accessioned | 2025-12-03T02:30:45Z | |
| dc.date.available | 2025-12-03T02:30:45Z | |
| dc.date.issued | 2024-08-01 | |
| dc.description.abstract | In an era marked by rapid advancements in science and technology, the proliferation of digital and electronic products has greatly enhanced everyday convenience. Within this context, the 3D scanning market presents significant opportunities for development and application in various fields. Current market offerings of traditional laser 3D scanners and photogrammetry-based 3D scanners commonly face limitations due to lighting conditions. Scanning outcomes in outdoor or bright light environments are often suboptimal. Furthermore, traditional laser 3D scanners require the application of a developer for scanning objects with high refractive or transmittance rates, such as glass products or metal materials. This requirement poses restrictions for objects with fragile surfaces or those under cultural heritage conservation. The study evaluates the strengths and weaknesses of current 3D scanning methods, including camera-based and radar-based scanners, with the goal of creating a scanning approach that improves data acquisition speed and offers a universal, streamlined structure for daily use. The research introduces a novel 3D scanning sensor that leverages infrared ranging and point cloud processing to overcome the limitations of traditional photo-based scanners, which require time-consuming captures from multiple angles. By employing infrared ranging and point cloud analysis, our approach accelerates the data collection process. We designed and tested a 3D scanning system utilizing infrared sensors, proposing the elimination of complex rotating mechanical components in favour of a simpler, more user-friendly design. A key feature of our research is the use of cost-effective and stable sensors, significantly reducing the overall cost. This system solves the problem of poor scanning results of traditional laser 3D scanners and camera-based 3D scanners outdoors or in strong light conditions. The error between outdoor and indoor point cloud results is only 1.7%. At the same time, it also solves the problem that laser 3D scanners need to spray developer for objects with high refractive index or light transmittance. The data reliability of wooden scans using this system is 94.63%. This overall cost of this system is less than 2% of the price of the EinScan-S3D scanner. If a higher-precision infrared scanner is used to improve the accuracy of this design system, the price is still less than 50% of the price of the EinScan-S3D scanner. This highlights the practicality and affordability of our proposed 3D scanning sensor, making it a viable solution for everyday applications | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/23298 | |
| dc.language.iso | en | |
| dc.title | Feasibility of 3d scanner based on infra-red ranging sensor | |
| dc.type | Resource Types::text::thesis::master thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |