Working principle of plantar scanner
The plantar scanner uses multimodal sensing technology to achieve high-precision digital modeling of the three-dimensional morphology and biomechanical characteristics of the foot. Its core processes and technical points are as follows:
I. Optical scanning technology
1. Structured light scanning
Project coded stripe light to the sole of the foot, use the camera to capture the light deformation, and calculate the three-dimensional coordinates of each point on the surface of the foot through triangulation, with an accuracy of up to 0.1 mm, which is suitable for fast static or dynamic scanning scenes.
2. Laser scanning
Emit laser beams point by point and measure the reflection distance to generate high-density point cloud data, accurately capture details such as arch curvature and toe bone morphology, and are often used for high-precision foot modeling.
II. Multi-view data synthesis
Use a multi-lens array around the foot to synchronously collect data, eliminate scanning blind spots, and generate a seamless complete three-dimensional model through algorithm splicing, covering the sole, instep and side profile.
3. Dynamic pressure monitoring
Integrate a high-density pressure sensor array (such as thousands of sensors) to record the plantar pressure distribution when walking or standing in real time, capture the pressure peak transfer path, and assist in analyzing gait abnormalities and biomechanical problems.
4. Data acquisition and modeling process
1. Scanning preparation
The subject stands barefoot in the scanning area, wears anti-reflective scanning socks, and maintains a natural posture to ensure data authenticity.
2. Point cloud generation
The scanner generates a three-dimensional point cloud of hundreds of thousands of points through optical or laser technology, accurately recording parameters such as foot length, foot width, and arch height.
3. Three-dimensional reconstruction
After denoising and registration, the point cloud data is imported into the modeling software to generate an editable STL format model, which supports cross-sectional analysis and rotation observation.
4. Typical application scenarios
Medical diagnosis: Identify structural abnormalities such as flat feet and high arches, and evaluate the orthopedic effect.
Sports health: Analyze the plantar pressure distribution and optimize the design of sports shoes to reduce the risk of injury.
Customized products: 3D printed layered insoles based on three-dimensional models to achieve personalized support and cushioning.
