Visual Facility Mapping

AI-powered floor plan extraction that converts photos of fire escape plans, napkin sketches, or existing layouts into functional table management configurations.

Overview

Visual Facility Mapping eliminates manual floor plan setup by:

• Auto-extracting layouts from images of existing floor plans
• Detecting table positions from photos of your dining room
• Converting sketches into digital floor plans
• Importing CAD files from architects or designers

Supported Input Formats

Input Type	Format	Accuracy	Best For
Fire Escape Plan	Photo/PDF	95%+	Existing buildings
Architect CAD	DXF, DWG, PDF	98%+	New construction
Floor Photo	JPG, PNG	85%+	Quick setup
Hand Sketch	Photo of drawing	80%+	Planning changes
Existing POS Export	CSV, JSON	100%	Competitor migration

How It Works

┌─────────────────────────────────────────────────────────────────┐
│  VISUAL FACILITY MAPPING                    AI Floor Plan Setup │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│  STEP 1: Upload Image                                           │
│  ─────────────────────                                          │
│  ┌─────────────────────────────────────────────────────────┐   │
│  │                                                          │   │
│  │   [Drag & drop your floor plan image here]              │   │
│  │                                                          │   │
│  │   Or: [Take Photo] [Browse Files] [Import from CAD]     │   │
│  │                                                          │   │
│  └─────────────────────────────────────────────────────────┘   │
│                                                                  │
│  STEP 2: AI Analysis                                            │
│  ───────────────────                                            │
│  [████████████████████████████████████████] 100%               │
│                                                                  │
│  ✓ Detected: 24 tables, 3 sections, 2 exits, 1 bar area        │
│  ✓ Extracted: Wall boundaries, doorways, windows                │
│  ✓ Estimated: Total capacity 96 seats                          │
│                                                                  │
│  STEP 3: Review & Adjust                                        │
│  ───────────────────────                                        │
│  [Preview Layout] [Edit Manually] [Confirm & Import]           │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

AI Detection Capabilities

Element	Detection	Notes
Tables	Shape, size, position	Round, square, rectangular
Seating Capacity	Per-table estimation	Based on size
Walls	Structural boundaries	Interior and exterior
Doorways	Entry/exit points	Main, service, emergency
Windows	Natural boundaries	Optional for seating
Bar Area	Counter, stools	Separate section
Kitchen	Service areas	Excluded from seating
Restrooms	Facility locations	Excluded from seating

Workflow

API: Extract Floor Plan

POST /api/v1/vision/facility/extract
Content-Type: multipart/form-data
Authorization: Bearer {access_token}

file: <image_binary>

Response:

{
  "job_id": "vfm_abc123",
  "status": "processing",
  "detected_type": "fire_escape_plan",
  "confidence": 0.94,
  "estimated_completion": "2026-01-24T20:15:00Z"
}

API: Get Extraction Results

GET /api/v1/vision/facility/extract/{job_id}
Authorization: Bearer {access_token}

Response:

{
  "job_id": "vfm_abc123",
  "status": "completed",
  "floor_plan": {
    "dimensions": {
      "width_ft": 60,
      "height_ft": 45
    },
    "tables": [
      {
        "id": "tbl_001",
        "shape": "round",
        "seats": 4,
        "x": 0.15,
        "y": 0.25,
        "width": 0.08,
        "height": 0.08,
        "section": "main_dining",
        "confidence": 0.96
      },
      {
        "id": "tbl_002",
        "shape": "rectangular",
        "seats": 6,
        "x": 0.35,
        "y": 0.25,
        "width": 0.12,
        "height": 0.06,
        "section": "main_dining",
        "confidence": 0.94
      }
    ],
    "sections": [
      {
        "id": "sec_main",
        "name": "Main Dining",
        "tables": ["tbl_001", "tbl_002", "tbl_003"],
        "capacity": 42
      },
      {
        "id": "sec_patio",
        "name": "Patio",
        "tables": ["tbl_020", "tbl_021"],
        "capacity": 16
      }
    ],
    "walls": [
      {"start_x": 0, "start_y": 0, "end_x": 1, "end_y": 0},
      {"start_x": 1, "start_y": 0, "end_x": 1, "end_y": 1}
    ],
    "total_capacity": 96
  },
  "needs_review": ["tbl_015"],
  "review_message": "Table 15 shape unclear - please confirm round or square"
}

Manager Guide: Setting Up Floor Plans

From Fire Escape Plan

1. Locate your fire escape plan (usually posted near exits)
2. Take a clear photo with your phone
3. Go to Settings > Tables > Import Floor Plan
4. Upload the photo
5. Wait for AI analysis (typically 30-60 seconds)
6. Review detected tables and sections
7. Make any adjustments in the editor
8. Click Save & Activate

From Architect Drawings

1. Request DXF or PDF from your architect
2. Go to Settings > Tables > Import Floor Plan
3. Select CAD Import
4. Upload the file
5. AI extracts table positions and sections
6. Review and adjust as needed
7. Click Save & Activate

From a Photo of Your Restaurant

1. During closed hours, take photos of each dining area
2. Go to Settings > Tables > Import Floor Plan
3. Upload photos for each section
4. AI identifies table positions
5. Manually confirm table sizes and capacities
6. Click Save & Activate

Tips for Best Results

Input Type	Best Practices
Fire Escape Plans	Ensure good lighting, capture full plan
Photos	Take from elevated position, clear walkways
Sketches	Use clear lines, label sections
CAD Files	Request furniture layer included

Error Handling

Issue	AI Response	User Action
Blurry image	Request re-upload	Take clearer photo
Partial plan	Request additional images	Upload remaining areas
Unclear tables	Mark for review	Confirm in editor
Missing sections	Detect and prompt	Add manually

Related Documentation

• Data Ingestion API - Universal import engine
• Tables API - Table management
• Seating API - Seating configuration