Ameripolish
Smartfloor AI Solution for the Floor Polishing Industry
The SmartFloor project is a pioneering initiative led by Virtual Force (VF) that leverages AI to quantify clarity in floor polishing surfaces, a challenge previously unsolved by commercial tool. With no existing standard formula or dataset for Distinctness of Image (DOI) calculation, this project breaks new ground in both research and
technology.
Ameripolish
Building an Intelligent Quality Inspection System
For Ameri Polish, a leading surface polishing and finishing company, Virtual Force developed a multi-phase AI-powered system to modernize how surface quality is measured and controlled. From reflectivity analysis to predictive gloss measurement—and upcoming defect detection—the solution replaced manual processes with a scalable, data-driven platform that improves consistency, reduces rework, and accelerates production decisions.
Challenge Faced by Ameri Polish: Inconsistent Quality & Manual Processes
Ameri Polish relied on multiple independent quality checks such as DOI (surface clarity), floor-level categorization, and gloss measurements, which created several operational challenges, including inconsistent results due to manual inspection, lack of standardization across different quality metrics, difficulty maintaining high-quality output at scale, time-consuming inspection and rework cycles, and limited visibility into what drives surface quality; therefore, the need was clear for a unified, intelligent system to bring consistency and efficiency into quality control.
Centralized Intelligence & Redefining Quality Control
By integrating all quality metrics into a single AI-driven pipeline, Ameri Polish now operates with a unified system that centralizes all surface quality insights in one place, reduces dependency on manual inspection, improves consistency across production batches, enables faster data-driven decision-making, and reduces rework and operational costs, allowing the company to transition from reactive quality checks to proactive, intelligent quality control while laying the foundation for fully automated inspection in the future.
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