A foot 3D scanner is a device that collects 3D morphological, contour and dimensional data of the foot.
A foot 3D scanner has a built-in high-precision scanning module and data processing module.
Currently, the popular scanning technologies on the market include: structured light scanning, laser scanning, binocular vision scanning.
These technologies can capture the three-dimensional shape, plantar curvature and stress points of the human foot in a static state.
The scanning accuracy level is usually around 0.5mm.
After collecting the data, modeling and analysis are carried out in professional design software, and a foot 3D model report is generated, which includes arch height, plantar area, foot varus/valgus angle, key dimensional parameters, etc.
There are three core advantage directions of foot 3D scanners applied in insole design, namely morphological adaptability, parameter accuracy and design efficiency.
Different types of foot deformities can correspond to different advantage characteristics.
For example, for the design of insoles for flat feet and high arches, generally only the advantage of morphological adaptability is needed.
For example, for the design of insoles for foot asymmetry and leg length discrepancy, the advantage of parameter accuracy is required.
For example, for batch personalized insole customization, the advantage of design efficiency may be needed.
The advantage directions are diverse, which can adapt to the design needs of different custom insoles.
The core advantages of foot 3D scanners applied in the design of custom orthotic insoles are:
1. The advantage is reflected in the adaptation accuracy.
In terms of adaptation accuracy, it can accurately match the physiological shape of the foot, avoid errors in manual measurement, and improve the fit of the insole.
2. The advantage is reflected in the design efficiency.
It shortens the cycle from data collection to model generation, reduces manual drawing links, and improves the efficiency of custom design.
3. The advantage is reflected in personalized adaptability.
For example, for diabetic feet and post-operative rehabilitation feet, it can accurately capture the special shape of the foot and design exclusive support structures.
Combining static morphological data with the dynamic stress characteristics of the foot, multi-dimensional personalized design is realized.
4. The advantage is reflected in data traceability.
For example, when applied to people with long-term rehabilitation, it can retain foot data at different stages, track the adaptation effect of insoles, and optimize the design scheme.
