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Mobile native (Android & iOS) application for foot size measurement, which uses embedded computer vision (CV) model for detections and measurements for further shoe suggestions according to the processing results.

Aim of the Project

• Embedded accurate solution for foot size measurement
• Cross-platform mobile application

Results Achieved

• Measurement accuracy ±2.5mm*
• Processing speed: ~1 sec
• Native iOS & Android apps

Technology

• For ML/CV: TensorFlow / TensorFlow Lite / OpenCV / Python / C++.
• For Android: Kotlin, JNI.
• For iOS:

The understanding of the market of such applications was really important. We did research of similar apps that were available in the App Store and Google Play in June – July of 2020th. We found out that our apps were the most accurate on the market.

The UI/UX design was also developed by APRO:

What Apps Can Do

● Measure foot size in a really accurate, fast, and convenient way and automatic suggestions for the shoes of optimal sizes.
● ML/CV model works 100% locally without the need for an Internet connection. The Internet is needed for catalogues and map options only.
● Automatic measurements conversion in different sizing systems: EU, UK, MONDO.
● The applications can work on both smartphones and tablets on iOS and Android (ML/CV model is cross-platform too).
● The catalogue has the specially developed 360-degree shoe view.
● Google Maps Integration with the suggestions of nearest brand stores.
Main Sources of Benefits
● The ability to suggest “perfect” shoes for brand customers. It means, customers will have unique user experience and much less worry about issues with shoe sizes.
● Significant reduction in shoe returns for online orders. And a reduction in associated costs (logistics, transportation, warehousing, etc).
● Unique applications that can really improve customers marketing activities and bring “technology” to the brand image.