In modern automotive manufacturing, the aesthetic quality and aerodynamic performance of a vehicle are heavily dictated by the precision of car door gaps and flushness. However, traditional manual inspection methods present a significant bottleneck. Relying on human operators leads to high labor costs and, more importantly, inconsistent measurement standards due to subjective judgment.

Furthermore, as assembly lines move faster, ensuring micron-level precision across every vehicle becomes nearly impossible with contact-based tools. Without a stable, automated system, manufacturers risk assembly errors that compromise vehicle safety, increase wind noise, and damage brand reputation. The challenge lies in capturing accurate data on curved, reflective surfaces while maintaining the high throughput required in a Tier-1 automotive environment.