Safety of the co-worker

Nowadays, advanced monitoring systems can understand a complex working environment and detect the potential risks related to a state of the working environment. A complex working environment is broken down into objects that the system can detect. By understanding the context of these objects, the system is able to detect potential risks. These systems can thus significantly lower the risk for manufacturing accidents.

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Quality Control

In computer vision an ML system is able to recognize content on pictures or videos. Thanks to computer vision, we can use machines to perform detailed quality control in a reliable and cost-effective way.

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Anomaly Detection & Predictive Maintenance

Smart production monitoring is a crucial activity in advanced manufacturing for quality, control and maintenance purposes. Advanced Monitoring Systems aim to detect anomalies, these are data patterns that have different data characteristics from normal instances. Getting insights in the data patterns and anomalies allows companies to take better actions and decisions.

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Process Optimization: ecc.ai

Large scale commercial and industrial environments have a major focus on optimization – think: energy consumption, yield, raw material usage, quality… Although most of these processes are very well monitored, major breakthroughs in this field are very scarce. Using all the available IOT data, our algorithms optimize the entire production process end-to-end, finding global efficiency gains that humans simply can’t find in such a vast digital landscape.

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