1. Extracting Video Keyframes / Photos · 2. AI Vision Auto-Discovering Zones & Rooms · 3. Saving Local Vault · 4. Uploading to 3D Library 🤖 AI Vision detected 1 zone: Exterior (3 photos) 0%
1 · Extract Keyframes / Photos 2 · AI Vision Auto-Discover Zones 3 · Save Local Vault Backup 4 · Upload to 3D Library
01 · CAPTURE MODE & GENERIC 3D CATEGORY SWITCHER PROP · PHOTO_ORBIT · AI AUTO-ZONES

1. Choose Capture Mode & 3D Category

02 · CLEAN CAMERA VIEWFINDER, FULL-SCREEN CAPTURE & GALLERY UPLOAD
3 PHOTOS READY (1–64 FLEXIBLE)

2. Viewfinder & 1-Click Gallery Media Picker

🎯 Laser ToF: 1.85 m · Sharpness PASS
Active Frame #01 · front_keyframe_01.jpg (4032×3024 · Laplacian 164.2 · PASS)

Snap 1 to 64 photos or pick saved photos & walk-around videos from your device gallery. AI Vision automatically discovers zones, compartments, or rooms after capture.

CAPTURED PHOTO THUMBNAILS (TAP ANY THUMBNAIL TO ENLARGE) 3 / 64 FRAMES STAGED
🤖 AI-DISCOVERED ZONES & ROOMS (AUTO-DETECTED AFTER CAPTURE — TAP TO RENAME OR EDIT)
⛰️ Barometer: +0.0 m · Floor 1

Zero pre-tagging required: just capture or upload your photos/video. AI Vision clusters your frames by visual features, camera pose, and barometric altitude into editable zones below.

03 · OBJECT NAME, SAVE TO VAULT & BUILD 3D MODEL LIBRARY-ONLY (DEFAULT)

3. Name Object & Save / Build 3D Model

Dual-Path Ready · Primary: http://100.127.83.110:8787/api/jobs · Fallback: https://scan.letzi-labs.com/api/jobs

▸ Advanced Sensor & Scale Calibration (Raw 4-Channel ToF / ARCore / Barometer & 2-Point Tape) OPTIONAL · AUTO-FUSED
Estimated Bounding Box (W × D × H): 1.20 m × 0.80 m × 1.10 m (Dist 1.85 m)
Source: reference_dimension (conf 100%, scale 1.200x)
▸ ViMor Swiss LV95 World Placement (Optional) OPTIONAL · LIBRARY DEFAULT
LV95 E 2690818.0, N 1216496.0, H 931.4 m → ViMor (18, 16, 1.4 m, yaw 18°)
▸ Local Scan Backup Vault (Download Raw Photos / Video + JSON Metadata) 2 SAVED IN VAULT

Every scan is backed up locally with full Laser ToF distance, barometric altitude, compartment passes, and room waypoints so no field capture is ever lost even when offline.

• scan_1792428149_jeep (jeep · 36 photos · 4 compartment passes: exterior, engine_hood, cabin_doors, trunk_cargo)
• scan_20261019_morgarten_house (morgarten_house · 48 frames · 2 floors + stairs · 5 room waypoints)
1-CLICK 3D LIBRARY ARTIFACTS & ANDROID OTA .APK DOWNLOADS CRITIC 9.44 / 10 · PASSED

Artifacts ready: /out/jeep/model.glb · /out/morgarten_house/model.glb · /out/spray_bottle/model.glb · /out/uncle_barn_bench/model.glb · /letzi-digitizer-debug.apk

▸ 1315 7-State Telemetry Simulator & Guided Coach (Developer) 0 QUEUED
STEP 1 Choose Mode & Category: Select Photo Orbit, Walk-Around Video, or Pick from Gallery, and choose Object/Prop, Building/Space, or Avatar.
STEP 2 Capture or Pick 1–64 Photos / 4K Video: Use Full-Screen Camera Capture or Gallery Picker. AI Vision automatically discovers zones, compartments, or rooms after capture.
STEP 3 Save & Build 3D Model: Automatically backs up raw media + JSON metadata to your Local Scan Backup Vault and uploads to the 3D Object Library.
Sharpness Gate: Laplacian >= 120.0 (fallback 80.0) Glare Gate: <= 8%

Sensor fusion calibrated and Generic 3D Object Library ready; waiting to capture 1-to-N photos or walk-around video.

No scan jobs are queued in this session; capture 1 or more photos in PHOTO_ORBIT or a 4K VIDEO_WALKAROUND to add an object to your 3D Object Library.

LETZI-LABS · MORGARTEN · 1315 FORM A

Scan (letzi-digitizer)

/ˈlɛt.tsi ˈdɪdʒ.ɪ.taɪ.zər/
Field-to-Blender metric 3D reconstruction for the Morgarten valley.

A Letzi was the timber-and-stone defensive earthwork guarding the Morgarten pass in 1315. Scan (letzi-digitizer) brings real objects, cars, multi-floor buildings, and people from the valley into ViMor at true 1 unit = 1.00 m scale.

ACCOUNT SIGIL · FORM B · 40-GRID SIGNED OUT · FORM B

Sigil

FNV-1a 32-bit · 4 lattices
Your account mark, derived deterministically from your identity seed.

Your Google photo is not used or stored. You appear as a sigil. The 40-grid Form B hexagon pairs with one of four inner lattices hashed via 32-bit FNV-1a from your Google sub (or Supabase user ID), identical on phone and web.

ENLARGED PHOTO FRAME INSPECTOR FRAME #01

front_keyframe_01.jpg

4032 × 3024 px · Laplacian Sharpness 164.2 (PASS >= 120.0) · Glare 1.8%