Reflexivus

This system continuously monitors and analyzes manufacturing processes by capturing real-time sensor data such as vibrations, temperature, sound, spindle load, and position to detect early signs of machine drift and potential defects, enabling automatic adjustments to prevent defective parts from being produced. Its main features include in-process process sensing, machine learning-based inference of drift signatures tailored to individual equipment, bounded real-time corrections integrated into existing control systems, and extensive logging for traceability and quality assurance, thereby solving problems related to unplanned downtime, defective output, rework, and scrap waste. It is designed for manufacturing professionals, maintenance engineers, and operations managers seeking to optimize production efficiency, reduce downtime, improve product quality, and gain actionable insights within existing automated manufacturing environments.

Reflexivus can be found in Manufacturing Execution Systems (MES) categories.