# Technical Inventory Hardware Extraction Protocol

  Extract ALL relevant hardware items from the image with precise, standardized formatting.

  ## Filtering Rules
  - **INCLUDE**: Physical hardware, modules, cables, servers, storage, transceivers
  - **EXCLUDE**: Generic mounting hardware (screws, brackets, rails), paper licenses, empty packaging
  - **Multi-item labels**: Treat each SKU/variant as a separate item (e.g., "5m cable" and "7m cable" = 2 items)

  ## Item Field Format (CRITICAL)
  []

  **Component Rules:**
  - `<size_or_length>`:
    - **STORAGE CAPACITY - HUMAN READABLE**: Convert to largest unit (TB/MB).
      - Examples: "1600GB" → "1.6TB", "256GB" → "256GB", "512MB" → "512MB"
      - Rule: If ≥1000GB, use TB. If ≥1000MB, use GB. Otherwise use MB.
    - **CABLE/WIRE LENGTH**: Meters only. Examples: "5m", "10m", "50m"
    - **RAM DIMM**: Capacity in GB. Examples: "128GB", "32GB", "8GB"

  - `<type>`: Asset class. One of: DDR3/DDR4/DDR5, SSD/HDD/NVMe, SATA/SAS, Patchcord/Fiber/Cable, SFP/Transceiver, DIMM, etc.
  - `<vendor>`: Manufacturer (HP, HPE, Dell, Samsung, Cisco, Hynix, Intel, Broadcom)
  - `<connector>`: Physical interface (RJ45, LC-LC, MPO, U.3, SATA, SAS, ST, SC). Omit if N/A.
  - `<part_number>`: Part number ONLY if visible. **Omit serial numbers.**

  **Item Examples (WITH HUMAN-READABLE SIZES):**
  - `1.6TB NVMe HPE U.3 P66093-002` (not 1600GB)
  - `256GB SSD Dell SATA SK-8765` (already human-readable)
  - `5m Patchcord LC-LC`
  - `128GB DDR4 Hynix`
  - `512MB Cache Samsung SATA` (stays MB if under 1GB)

  **Size Conversion Examples:**
  - 1600GB → 1.6TB
  - 2048GB → 2TB
  - 512GB → 512GB (under 1TB threshold)
  - 256MB → 256MB
  - 1024MB → 1GB

  **Restrictions:**
  - No comments in parenthesis
  - No measurement units in Item field (e.g., "1.6TB" not "1.6TB Storage")
  - No secondary vendors
  - No diameter/mm in Item field
  - ONE vendor only (primary manufacturer)

  ## Other Fields
  - **Type**: Repeat the asset class (DDR4, SSD, NVMe, Patchcord, etc.)
  - **Description**: Technical summary, max 5 words. Examples: "High-speed fiber optic", "Enterprise Gen4 storage"
  - **Category**: Memory, Storage, Network, Cabling, Compute, Optical, Transceiver
  - **Connector**: Interface type from Item field. Examples: "LC-LC", "RJ45", "U.3"
  - **Size**: **HUMAN-READABLE capacity or length.** Examples: "1.6TB", "256GB", "5m" (NOT "1600GB")
  - **Color**: Physical color if distinguishing
  - **PartNr**: Part number only (no serial numbers)
  - **OCR**: Robust matching key for OCR tolerance

  ## OCR Field Rules (CRITICAL)
  Generate a SHORT, clean matching key:
  - Format: **UPPERCASE space-separated, NO special chars, NO duplicates**
  - Include ONLY: Type + Size + Primary Vendor + Connector + Part Number
  - **EXCLUDE**: Serial numbers, secondary vendors, duplicate tokens, EMC/SK labels
  - **USE HUMAN-READABLE SIZE**: Use TB/GB from Item field, not original notation

  **OCR Format:** `TYPE SIZE VENDOR CONNECTOR PARTNUMBER`

  **OCR Examples (WITH HUMAN-READABLE SIZES):**
  - Item: `1.6TB NVMe HPE U.3 P66093-002` → OCR: `NVME 1.6TB HPE U3 P66093002`
  - Item: `5m Patchcord LC-LC` → OCR: `PATCHCORD 5M LC LC`
  - Item: `256GB SSD Samsung SAS SK-8765` → OCR: `SSD 256GB SAMSUNG SAS SK8765`
  - Item: `128GB DDR4 Hynix` → OCR: `DDR4 128GB HYNIX`

  **OCR Constraints:**
  - NO duplicate part numbers
  - NO secondary vendor names
  - NO extraneous labels
  - Each token appears ONE time only
  - Remove hyphens/special chars for fuzzy matching
  - Use HUMAN-READABLE sizes (1.6TB not 1600GB)

  ## Image Processing Guidance (NEW)

  Analyze the image layout and return crop/rotation metadata to optimize photo storage:

  ### Crop Bounds Analysis
  - Identify the PRIMARY ITEM in the image (main object, not background/clutter)
  - Return bounding box: `{x, y, width, height}` in pixel coordinates
  - Rules:
    - `x, y`: top-left corner of item (pixel offset from image top-left)
    - `width, height`: dimensions of item bounding box
    - Include minimal padding (10-15 pixels) around item edges
    - Ignore background clutter, other items, hands, reflections

  ### Rotation Analysis
  - Check if item labels/text are readable
  - If text is rotated (not horizontal), calculate rotation needed
  - Return `rotation_degrees`: degrees to rotate CLOCKWISE to make text readable
  - Examples:
    - Text rotated 90° counter-clockwise → return 90 (rotate 90° clockwise)
    - Text rotated 45° clockwise → return -45 (rotate 45° counter-clockwise)
    - Text already readable → return 0

  ### Confidence Score
  - Return `confidence`: 0.0-1.0 indicating reliability of crop/rotation analysis
  - 0.9+ = High confidence (clear item, readable text)
  - 0.7-0.89 = Medium confidence (some ambiguity or text partially obscured)
  - <0.7 = Low confidence (cluttered image, unclear item boundaries)

  ### Output Format (Extended)
  ```json
  {
    "items": [
      {
        "Item": "[size] type vendor connector partnumber",
        "Type": "type",
        "Description": "technical details (max 5 words)",
        "Category": "category",
        "Connector": "connector_type",
        "Size": "human_readable_size",
        "Color": "color",
        "PartNr": "part_number",
        "OCR": "TYPE SIZE VENDOR CONNECTOR PARTNUMBER",
        "image_processing": {
          "crop_bounds": {
            "x": 50,
            "y": 100,
            "width": 300,
            "height": 200
          },
          "rotation_degrees": 15,
          "confidence": 0.92
        }
      }
    ]
  }
  ```

  **Return ONLY JSON. No markdown. No text.**