NSK Dental
INDUSTRY
Dental Innovation + Technology
SOLUTION
Mobile Tip Scanning App
DELIVERABLES
App Design + Dev, Product Strategy + Neural Network
// INTRODUCTION
NSK Global redefines clinical precision with a first-to-market app for scaler tip wear scanning. Built for validation, speed, and scale.
// THE CHALLENGE
Designing for clinical accuracy in real-world conditions.
NSK’s customers rely on physical cards to estimate tool wear, a system vulnerable to loss, inconsistency, and human-error.
We were tasked with creating a mobile solution that delivers:
- Auto-identification of the scaler tips
- Real-time wear detection
- Consistent measurement outputs
- High usability for dental professionals
- Scalable support for multiple tips and languages
We helped design and develop a mobile scanning app that brings millimetre-level precision to dental drill wear detection - eliminating guesswork and elevating clinical confidence.
// FULL SERVICES
UX/UI DesignProduct StrategyDigital Brand EnhancementCustom DevelopmentNeural Network Development
We trained a convolutional neural network (CNN) to recognise specific scaler tip models from camera input, automatically matching them to reference profiles and triggering the correct wear-detection logic, with no manual selection required.
// THE RESULTS
Precision-first UX.
Innovation-led dev.
This project was engineered in close collaboration with our development partners at NML, without whom, this project would not have been possible. Their deep technical capabilities (including the design and training of the neural network) enabled us to deliver a technically complex, first-to-market product with confidence.
Built on a custom-trained neural network to auto-detect scaler tip models instantly
Lightweight UX for fast adoption in clinical environments
Integrated tip catalogue and in-app order functionality
Multilingual interface with auto locale detection
Outcome display with 5 wear states
Learns & adapts with each scan
// THE VISION
A fully automated system that identifies scaler tip models and their wear condition without manual input.
We laid the foundation for smart detection by combining human-centred UX with a custom-trained neural network. As more scan data is captured, the system learns, improves, and moves closer to real-time, AI-driven diagnostics.
This isn’t just a companion tool, it’s a stepping stone toward full clinical automation, built for speed, scale, and certainty.
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// GUIDING PRINCIPLES
Engineered for precision, trust, and clinical ease. Every design choice supports fast, accurate scans in real-world dental environments.
We designed the experience to create clear, immediate outcomes paired with insightful recommendations, product guidance, and clinical education. The interface supports dentists and Dental Therapists as a trusted partner - helping them make confident decisions at the point of care while deepening their knowledge over time.
// THE TECHNOLOGY BEHIND IT
At its core, the NSK app is powered by a custom-trained neural network built to interpret wear levels with precision, delivering actionable outcomes in seconds.
Purpose-built for clarity, speed, and future growth, the system delivers results in real-world conditions with speed, consistency, and confidence.
The CNN model was trained on high-resolution tip images across multiple variants, allowing the system to classify the correct tip type within milliseconds and apply the correct measurement logic. This ensures scalable support for NSK’s growing catalogue of scaler tips.
The CNN model was trained on high-resolution tip images across multiple variants, allowing the system to classify the correct tip type within milliseconds and apply the correct measurement logic. This ensures scalable support for NSK’s growing catalogue of scaler tips.
