SCAMDAR-VISION v2.1 · ONLINE

From pixels
to a verdict.

Here's how SCAMDAR SI reads a face, step by step, in the few seconds between upload and result.

00 / PIPELINE

Four stages. A few seconds.

Every image goes through the same pipeline. You can watch it happen live in the agent log on your result page.

  1. 01 / DETECT

    Face detection & alignment

    Metadata is stripped on arrival, then a multi-scale face detector locates the subject. A 5-point affine transform aligns eyes, nose and mouth to a canonical pose, correcting head roll, yaw and lens distortion before a single measurement is taken.

    scamdar-agent · stage 01
    [00:00]Metadata stripped · EXIF, GPS, XMP
    [00:00]Face detected · confidence 0.993
    [00:01]Aligned to canonical pose · roll 1.1° yaw −4.2°
  2. 02 / MESH

    468-point landmark mesh

    SCAMDAR SI fits a dense 3D landmark mesh to the face and reconstructs its geometry: canthal tilt, interpupillary distance, gonial angle, philtrum length and the facial width-to-height ratio (fWHR).

    scamdar-agent · stage 02
    [00:01]Fitting 468-point landmark mesh…
    [00:02]Canthal tilt · +3.8° · IPD 62.4mm
    [00:02]fWHR · 1.94 · gonial angle 118°
  3. 03 / READ

    Physiognomic feature read

    Each facial region is scored against 42 classical physiognomic indices, from brow ridge and glabella to nasolabial folds and lip symmetry. A FACS encoder reads 17 action units for micro-expressions, including the Duchenne markers (AU6 + AU12) that separate a genuine smile from a rehearsed one.

    scamdar-agent · stage 03
    [00:03]Scoring 42 physiognomic indices…
    [00:03]FACS · AU6 0.12 · AU12 0.81 · AU14 0.44
    [00:04]Non-Duchenne smile detected
  4. 04 / INFER

    Trust-score inference

    Landmark geometry and expression vectors are fused into a 512-dimension facial embedding and passed through an ensemble of five classifier heads. Their votes are temperature-calibrated into a single trust score, then mapped to one of three verdicts.

    scamdar-agent · stage 04
    [00:04]Projecting 512-d facial embedding…
    [00:05]Ensemble vote · 5/5 heads agree
    [00:05]Calibrated trust score · 0.27

05 / VERDICTS

One image. One of three labels.

SCAMDAR SI always commits to a single verdict. There's no partial credit and no blank result.

ScammerProbability of scamming you 7–10/10

SCAMDAR SI is confident the image shows a scammer. The strongest signals all point the same way.

Maybe ScammerProbability of scamming you 3–6/10

SCAMDAR SI found some scammer signals, but not enough to be sure. A borderline call.

SafeProbability of scamming you 1–2/10

Nothing was flagged. SCAMDAR SI found no meaningful scammer signals in the image.

06 / TIMING

Seconds, usually

Most images finish in a few seconds. Under heavy demand it can take longer. Your result link keeps working, and the verdict appears there as soon as it's ready.

07 / PRIVACY

Metadata stripped

Location, camera and author details are removed from every upload before analysis. Images that can't be processed are never shown publicly.

08 / GALLERY

Results are public

Every analyzed image appears in the public gallery and live feed with its verdict, and every result has a link you can share.

Ready? Let SCAMDAR SI decide.