Artificial intelligence in manufacturing
We apply artificial intelligence with a view to transforming manufacturing processes via state-of-the-art solutions designed to optimise precision, efficiency and sustainability. Our approach combines machine learning, artificial vision and neural networks in order to tackle complex challenges by developing technologies that promote innovation and improve performance at each stage of the production process.
Areas of work
Control models for robotics systems and exoskeletons
We develop control algorithms based on machine learning that enable robotics systems and exoskeletons to function accurately and efficiently. These solutions facilitate advanced automation and increase productivity on complex manufacturing lines.
Artificial vision for quality control and automation
We integrate 2D and 3D artificial vision technologies in order to monitor and optimise manufacturing processes. Our solutions range from fault detection to classification and segmentation in real time, thus ensuring top quality standards.
Optimisation of processes and prediction of faults
We implement predictive models based on neural networks with a view to analysing data and anticipating faults in equipment and systems. These capacities enable maintenance to be carried out more efficiently.
Technologies
Sectors of application
