Body Scanner

DRAGATE HAIL / PDR — Hail & Dent Scanner

Indicative list price $159,000
Part number CXS-ARC-HAIL

Single unit, EXW Shanghai (Incoterms 2020) — exclusive of freight, insurance, duty and taxes. Delivery DAP to a GCC airport (Dubai, Jeddah, Doha and others) from USD 10,000 per complete system; indicative only, minor changes may apply. We ship worldwide — other destinations on request. An all-inclusive package to your site, including installation and operator training, is available on request. Final pricing is confirmed on quotation.

  • 100+Systems installed worldwide
  • 10sComplete vehicle scan
  • IP65–67Rated for continuous duty

The hail and paintless-dent-repair specialist. Eight cameras tuned for the finest dent detection, built for operations that process hail-damaged vehicles at volume and need an objective dent count per panel.

Detection

  • Dents from 5 mm — the finest sensitivity in the range
  • Micro-deformations invisible to the human eye
  • Dent count and severity per panel — the basis for PDR estimating
  • Reproducible regardless of lighting or operator fatigue

Specification

  • Imaging array: 8 industrial cameras
  • Drive-through speed: up to 10 km/h
  • Operating temperature: −10 °C to +50 °C
  • Connectivity: Gigabit Ethernet, open APIs
  • Server: local or cloud

Best suited to

Hail-repair operations, smart-repair and PDR workshops, and insurance appraisal networks handling catastrophe volume.

Accessory — Licence Plate Recognition Camera

CXS licence plate recognition camera on mounting pole

Automatic number-plate recognition binds every scan to a vehicle identity on entry, so condition records attach to the right asset without manual data entry. One unit is included as standard in the ARCH scope of delivery.

Additional or replacement units — for a second lane, a separate entry point, or a retrofit to an existing installation — are available on their own: Licence Plate Recognition (LPR) Module.

Next step

Every deployment starts with an assessment of your throughput and failure points, followed by a live demonstration and a deployment model built against your actual volume.