loader image

3D Printed
AI Powered Insole

Artificial Intelligence Helps Prevent Diabetic Foot Ulcers

The innovative solution to use in-shoe systems for monitoring the microclimate within footwear. Machine-learning analysis suggests a risk of ulceration.

We use 3D printing technology to producing customized insole to prevent any damage.

Play Video

Our Best Services

Here you can view all the services we offer, and choose one that fits your needs. After you selected the service, feel free to contact us for further details.

3D-INSOLE

Insole 3D Printing

We provide customized and low-cost 3d printed insole which is comfortable and help to prevent patient’s foot damage.

Real-Time-Data-Monitoring

Real-Time Data Monitoring

We send real-time data collection and data storage on the healthcare professional side in a safe and secure servers.

Machine-Learning-Analysis

Machine Learning Analysis

Machine learning analysis the data to decide whether microclimate conditions suggest a high risk of ulceration.
Insole-with-Humidity-sensors

Insole with Humidity sensors

The sensors are Si7006-A20 humidity and temperature sensor, R0402 temperature sensor ,and FSR-402 force sensor.
The connection is by EFR32BG1.

Customer-Service

Customer Service

Observation of Key touchpoints is crucial in our business. Searching and selecting the footware the patient needs is the first touchpoint in the customer experience. Appointment scheduling is typically the first active engagement between the patient and us, where the foot will have to be imaged. During this interaction, we collect necessary information about the patient and his or her healthcare needs.

shoe-with-sensor(1)

Insole with
micro-controller

The insole system monitors and detects temperature, pressure, humidity, etc. and integrates it over time through a microcontroller, and exceptions are highlighted, and the patient is alerted through the Smartphone Application using WiFi so immediate corrective action can be taken to offload.

Rapid Prototyping (RP) is a layer-by-layer manufacturing technology commonly employed for medical models. The RP model of human anatomy can be generated from high-resolution digital images such as computed tomography, magnetic resonance imaging, and any other medical scanning processes.

The acquired medical data set from the medical scanner is kept in Digital Imagery and Communication in Medicine(DICOM) file format (voxels), which can be acquired in a 3D biomedical computer-aided design (Bio-CAD) model

Frequently Asked Questions