Solutions

Real-time insights in your production activities

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

IoT-based Intelligence at the Edge

Enterprises today need real-time, actionable insights to optimize operations and make critical decisions. Traditional analytics often fall short in environments with high latency or large data volumes. VersaSense addresses this by providing on-premise deployment of real-time, AI-driven insights, combining IoT-based sensing with edge AI to deliver instant insights directly where needed. This platform supports integration with various sensors, translating raw data into actionable intelligence to improve efficiency and competitiveness. VersaSense enables you to overcome the limitations of traditional analytics by leveraging real-time data processing at the edge. This allows for swift, intelligent decision-making, eliminating delays and inefficiencies and ensuring precise actions where they matter most.
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implement real-time productivity insights

Connect. Train model. Improve.

By combining the right sensors with AI running on the edge, enterprises can detect production issues more rapidly and immediate decisions before they hit your operations with 10x.

Select and 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

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.

Edge Analytics

Intelligent sensing and decisions on the edge

Vision

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

Vibration

Analyze vibration signals to detect anomalies in production behaviour.

Custom Sensing

Depending on your use case, other types of sensors might be relevant. Discuss your specific requirements with our product specialists.

Sound

Using sound characteristics, detect product defects and avoid scrap

OT/IT systems integration

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