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Real-time insights for your production process

Eliminate issues inside your production process. By combining sensor information with our purpose-built AI solutions, you can optimize your production quality.

-- Robust productivity

Take decisions at the edge

Certain activities mandate fast decisions and action-taking. For these use cases, we have developed VersaSense Edge, a platform that extends to on-premise deployment of real-time AI-driven insights. The platform supports integration with various kinds of sensors or sensor data sources, such as cameras, microphones, or vibration sensors.

Vision

Detect and classify product issues based on images or video streams.

Vibration

Analyze vibration signals to detect anomalies in production behaviour.

Sound

Using sound characteristics, detect product defects and avoid scrap

OT systems interaction

Immediately communicate AI-decisions back to your existing OT infrastructure.

-- Our solution

Connect. Train model. Execute.

Deploy sensors

Depending on the quality control problem, select the correct sensor, such as sound or 2D imaging. Install sensor on the production line. Using a suitable network technology the sensor will connect to the model backend upstream and provide measurement sets fed into the analytics.

Tune model and operate

Based on the labeled measurement sets tune one of the shrink-wrapped models of the VersaSense Product Quality solution. Operation can start as soon as the model has learned sufficient data.  Results are fed back to the OT infrastructure to redirect defects to rework or scrap.

Refine and improve process

Minor product variations can easily be incorporated in the constructed analytics, as can additional defect modes. Track production defect performance by identifying trends and alert on quality anomalies. Link defects to root cause to improve actual production line performance.