AI Summary
TL;DR
SKN Systems transforms protective tape into intelligent sensing layers that capture real-time aerodynamic and thermal data directly from vehicle surfaces during development and racing. The sensor-embedded tape is consumable, quick to apply, and pairs with a cloud-based AI platform to deliver actionable aerodynamic insights at a fraction of traditional wind tunnel costs. SKN replaces expensive simulation tools and traditional measurement methods with real-world data collection that works across motorsport, automotive, aerospace, and defence applications.
Key Claims
- •SKN's sensor tape captures real-time aerodynamic and thermal data directly from vehicle surfaces, closing the gap between simulation and real-world performance
- •The system costs up to 90% less per hour than traditional wind tunnel testing while delivering more accurate real-world data
- •SKN can be installed by any team member in under 10 minutes without special tools and operates reliably from -45°C to +85°C
- •The cloud platform uses AI and machine learning to provide setup suggestions and acts as a virtual aerodynamic engineer
- •SKN is platform-agnostic and can be deployed on any vehicle with a 3D model available across multiple industries
Entities
SKN Systems, Lyall Davenport, Ed Hill, Alan Donnelly, Hal Reisiger, Cosworth, Ferrari Automotive, FIA, KV Racing Technology, Evtec Group, Hypercraft, Sierra
Tags
aerodynamicsmotorsportsensor-technologyhardwareai-platform