Challenge
FingerTrack is an experimental product with hand-gesture drawing control.
Solution
Hand recognition
We implemented real-time hand tracking via the camera. Movements are recognised accurately and with no noticeable delay.
3D strokes and gestures
We built drawing with 3D strokes controlled by gestures. You can draw and switch tools with hand movements.
Result export
We added export of the finished drawing to a file. The result is easy to save and share.
Results
Concrete numbers the client received after we shipped the project — pulled from analytics and confirmed by the client.
- 98%Recognition accuracy
Gestures and hand position are recognised stably and accurately.
- 60 FPSDrawing smoothness
Strokes appear smoothly following the hand's movement.
- < 50 msControl latency
The interface responds to gestures with almost no delay.
Ready to become the next case?
Tell us about your task — a manager will assemble the team, calculate the estimate and send a proposal within the first hour after the request. No obligations, no drip campaigns.

