By combining our expertise in computer vision, machine learning, and advanced process control, we can derive process parameters from industrial camera images and other sensor data. Predictive models and AI algorithms detect anomalies or process drift in real-time, allowing smart software to adjust process parameters to prevent or minimize issues and/or damage.
This results in automated tuning of process parameters for real-time supervisory control, optimizing product quality, operational efficiency, productivity, and reducing downtime.