Publication: Feasibility of 3d scanner based on infra-red ranging sensor
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Date
2024-08-01
Authors
Tian, Kailai
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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