Live Demo

MaskAnyone in Action

See how SYNAPSIS transforms identifiable audiovisual data into privacy-preserving research material while maintaining analytical value.

Before & After

Face Masking Demonstration

Compare original footage with de-identified output

Sample Recording - Face Masking

Original

Masked

Method: Face Masking

Expression preserved

Presentation Recording - Speaker Masking

Original

Masked

Method: Face Masking

Multi-person detection

Research Recording - Participant Masking

Original

Masked

Method: Face Masking

Expression preserved

Methods

Available Masking Techniques

Pixelation

Block-based face obscuring. Fast, simple, widely understood.

Privacy: High

Blur

Gaussian blur over facial regions. Adjustable intensity.

Privacy: Medium-High

Face Masking

Replace with synthetic face preserving expressions and gaze.

Privacy: High | Utility: High

Skeleton Only

Extract pose data, render skeleton visualization only.

Privacy: Maximum

Data Extraction

Pose & Kinematic Data

Beyond masking, SYNAPSIS extracts skeletal pose data from videos - enabling gesture analysis, movement studies, and behavioral research without exposing identity.

33 body keypoints (MediaPipe) or 25 (OpenPose)
Hand landmarks (21 points per hand)
Export to JSON, CSV for analysis in R/Python
Blendshape extraction for facial expression analysis

{
  "frame": 42,
  "timestamp": 1.4,
  "pose": {
    "nose": [0.52, 0.31, 0.98],
    "left_shoulder": [0.61, 0.48, 0.95],
    "right_shoulder": [0.43, 0.47, 0.96],
    "left_wrist": [0.71, 0.62, 0.89],
    "right_wrist": [0.33, 0.58, 0.91]
    // ... 33 keypoints total
  },
  "hands": {
    "left": [...],
    "right": [...]
  }
}

Sample pose data output (JSON)

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