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Computer Vision & Deep LearningSystem ID: EVR-VISION-16•4 min read

Touchless Gesture Control & Hand Tracking Interface

Multi-hand landmark tracking and real-time gesture interpretation system enabling touchless digital interaction and interface control.

Primary Impact:Zero-Latency UI
Core Stack:PythonOpenCVHand TrackingComputer Vision
Touchless Gesture Control & Hand Tracking Interface
!The Challenge

Operational Friction & Bottlenecks

Sterile medical rooms, public kiosks, and industrial settings require hygienic, hands-free interaction without physically contacting screens.

✓The Evaroid.AI Solution

Engineered AI Architecture

A computer vision gesture controller mapping 21 skeletal landmarks per hand in real time to trigger click, swipe, zoom, and select actions.

System Architecture

Technical Execution & Pipeline Flow

EVR-VISION-16 FLOW
1
Webcam stream ingestion and hand region segmentation
2
21 skeletal landmark point extraction per detected hand
3
Geometric Euclidean distance calculation between fingertip coordinates
4
Gesture state machine mapping hand configurations to OS mouse & keyboard events
5
Interactive visual HUD rendering real-time tracking points

Measurable Results & Business Impact

21
Landmarks Tracked Per Hand
<15ms
Gesture Recognition Latency
100%
Touchless Hygiene Compliance

Key Capabilities & Features

21-point tracking for dual hands simultaneously
Pinch-to-click and swipe-to-scroll gesture recognition
Immune to complex room lighting variations
Low CPU utilization allowing background operation alongside other apps

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