SandBoarder

Track sandboard base condition and performance degradation with AI wear modeling

ProductivityFree

SandBoarder uses base scan imagery and session log inputs to model base material wear rates across different sand grain compositions and temperature ranges encountered during competitive descents. Its performance degradation curves predict when base grinding and P-tex repair cycles are needed to maintain sub-optimal friction coefficients. Riders receive equipment maintenance schedules synchronized to their competition calendar for peak race-day performance.

Key Features

• ✓Base scan imagery wear rate modeling
• ✓Sand grain composition friction coefficient tracking
• ✓P-tex repair cycle prediction dashboard
• ✓Competition calendar synchronized maintenance scheduling
• ✓Temperature range wear acceleration compensation