Walk through a server room with IRIS. In 15 minutes, get a complete floor plan, equipment inventory, cable audit, and thermal map. No cloud. No manual data entry. Just point and scan.
Walk around with a clipboard, take photos on your phone, type everything into a spreadsheet. A single server room takes 4-8 hours.
Professional LiDAR scanners cost $3,000-$20,000+. They create 3D models but don't understand what they're scanning.
By the time you finish documenting, something has changed. No easy way to detect what's different since last audit.
LD19 LiDAR builds a 2D floor plan in real-time. Walls, racks, obstacles — all detected and measured automatically.
YOLOv8 on Hailo-8 recognizes 40+ object types: servers, switches, PDUs, electrical panels, fire detectors, HVAC units, CCTV cameras.
PaddleOCR reads nameplates, serial numbers, cable labels, and asset tags. No more squinting at tiny text behind racks.
Thermal camera finds overheating equipment before it fails. Temperature overlay on the floor plan shows problem areas instantly.
Intel RealSense D435i captures precise 3D point clouds. Measure rack dimensions, cable lengths, clearances — all from the scan data.
SVG/DXF floor plans for AutoCAD, JSON/CSV inventory for CMDB, PDF reports for management. One scan, every format you need.
IRIS doesn't just see racks and servers. It understands the complete technical infrastructure.
Servers, switches, routers, patch panels, PDU, UPS, racks, cable trays
Panels, breakers, contactors, ATS, transformers, busbars, cable channels
Fire panels, smoke & heat detectors, sprinklers, pipes, gas suppression, dampers
CRAC units, air ducts, vent grilles, raised floor tiles, fan units
LV cabinets, CCTV, access controllers, card readers, intercoms, motion sensors
Clockwork uConsole — your command center
┌─────────────────┐
│ 5" Screen │
│ ┌───────────┐ │
│ │ Live │ │
│ │ Preview │ │
│ └───────────┘ │
│ [ Keyboard ] │
│ │
│ CM5 + Hailo-8 │
│ 2× 18650 batt │
└───────┬─────────┘
┌───┴───┐
│ LD19 │ 360° LiDAR
│ ○ │ on top mount
└───────┘
Handheld wand for close-up inspection
┌──────────────────┐
│ [D435i sensors] │ Depth+RGB+IMU
│ ◎ LED ○ Therm │ Light+Thermal
└────────┬─────────┘
│
┌───┴───┐
│ Grip │ Ergonomic
│ ⊙ btn │ Trigger button
│ │ Barcode-scanner
└───┬───┘ style (194mm)
│
USB
Hold the Base and walk the perimeter. LiDAR maps the room in real-time. 2-3 minutes for a typical server room.
Point the Probe at racks, panels, cable trays. AI detects equipment, OCR reads labels, thermal finds hotspots.
Export floor plans (SVG/DXF), equipment inventory (JSON/CSV), thermal map, and PDF report. All generated on-device.
| Mode | Sensors | Time | Output |
|---|---|---|---|
iris scan --mode quick |
LiDAR only | 2-3 min | 2D floor plan + rack count |
iris scan --mode full |
All sensors | 15-30 min | Complete inventory + 3D + thermal |
iris scan --mode thermal |
Thermal + RGB | 5 min | Hotspot map |
iris scan --mode cable |
RGB + OCR | 10-20 min | Cable audit + tracing |
iris scan --mode delta |
All sensors | 5-10 min | Diff vs. previous scan |
$ iris scan --mode full --output ./room_a IRIS v0.2.0 — Infrastructure Recognition & Inspection System Mode: full Output: ./room_a Scanning... ████████████████████████ 100% 14:32 Results: Room: 12.4m × 6.2m (76.9 m²) Racks: 4 (R01-R04, all 42U) Equipment: 47 items detected Labels: 23 serial numbers read Hotspots: 1 critical (R03-U22, 62°C) Cables: 34 connections traced $ iris export --format svg --input ./room_a Exported: room_a/floor_plan.svg Exported: room_a/thermal_map.svg Exported: room_a/inventory.json Exported: room_a/report.pdf
| Manual Audit | Leica BLK360 | Matterport | IRIS | |
|---|---|---|---|---|
| Price | $0 | $18,000+ | $3,600+ | ~$614 |
| Floor plan | Manual sketch | 3D point cloud | 3D tour | 2D + 3D auto |
| Equipment detection | Manual | None | None | AI, 40+ types |
| OCR / labels | Write it down | None | None | Automatic |
| Thermal | Separate tool | None | None | Built-in |
| Time per room | 4-8 hours | 30 min (scan only) | 1 hour | 15 min (everything) |
| Offline | Yes | Yes | No (cloud) | Yes, fully |
| Open source | N/A | No | No | MIT license |
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