See how a lifting platform inverts the measurement approach, elevating clients' feet to service
See how a last built from joinable and separable blocks enables custom shoe upper shaping while
A material release tracker estimates how much nutrient-bearing wear material is shed during use, reducing environmental harm while supporting soil regeneration.
Buffered burst wireless transmission captures footwear movement data in real time while reducing battery drain and protecting embedded components.
A material release tracker estimates nutrient discharge from regenerative wear material, helping quantify wear output while supporting soil regeneration.
Real-time image guidance calculates part attachment positions so store staff can assemble customized lasts faster and more accurately.
Passive garment indicators capture wear and fit changes, enabling more accurate made-to-measure garments in later production cycles.
RFID-based identifiers and sensors track soles and uppers through separate processing so the correct pair is verified before final mating.
Measured foot data and user function targets are combined to tailor sock liner shape, structure, and material for cushioning, stability, grip, and fit.
Apertures in the forefoot sole adjust cushioning from user ratings, improving comfort and fit without fully redesigning the shoe.
3D foot data is clustered by shape similarity to improve shoe fit planning while reducing size variation, manufacturing burden, and inventory risk.
Automated 3D foot analysis identifies metatarsal, heel, and arch points to speed custom footwear fitting and diagnosis with less expert input.
A rigid cage with scan-tailored padding protrusions balances foot support and cushioning to reduce soreness and fatigue.
3D foot scanning and shoe-parameter transforms create custom shoe formers that match individual feet and specific shoe contours.
Additive manufacturing tailors flexible and rigid foot support regions to correct foot conditions, improve comfort, and simplify production.
A semi-rigid arch cookie interlocks with an elastomeric foam layer to improve cushioning, stability, and cost-effective footbed production.
Pressure, temperature, and foot-shape scans guide custom insoles that relieve pain and support circulation in PAD and diabetic feet.
Measured foot data and desired cushioning, stability, grip, and support are combined to generate custom sock liner designs.
A single-step 3D printed cupsole combines solid sidewalls with a honeycomb center to deliver custom fit, support, and dirt resistance.
Personalized scanned footwear suspends the ulcer site with zero contact while preserving mobility, biomechanics, and healing compliance.
Adaptive infill zoning automates multi-texture 3D shoe printing, preserving comfort and structural integrity across different sizes.
Foot-scan-shaped padding protrusions under a rigid cage improve cushioning, support, and pressure distribution across different foot contours.
Measures the shoe’s inner 3D surface with a movable sensor to support personalized shoe dimensions without losing manufacturing simplicity.
3D foot scans, gait data, and AI match footwear to both feet, improving fit and comfort without slow manual customization.
A neural network learns adhesive application regions from shoe component outline images, improving robot coating accuracy and production automation.