Tag: Use Case

This Use Case takes advantage of STAR’s security and data governance technologies in order to ensure the integrity, confidentiality, availability, non-repudiation and authenticity of industrial data used by AI systems and processes. Techniques for decentralized validation of industrial data are employed, notably techniques that audit/validate datasets derived from sensors and unreliable data sources. The UC leverages also […]

The integration of AI has unlocked a realm of transformative capabilities such as automatic visual inspection, predictive maintenance, and optimizing production lines. However, it has also introduced new security challenges, as malicious actors exploit the interactions between AI and legacy ICT systems. Adversarial Machine Learning (AML) has emerged as a significant concern in critical AI […]

This use case makes use of “Human intention recognition” and “Robot reconfiguration based on the dynamic layout” use cases in order to provide a safer work environment for all resources. Updated coordinates of all elements (i.e. stations, obstacles, workers) will be put to use for robot path planning. The position and velocity of the objects in the layout will […]

This use case is geared towards utilizing techniques like simulated data, active learning, and XAI (Explainable Artificial Intelligence) to enable model training with limited training data. The incorporation of simulated data enhances the training process by exposing the model to a broad spectrum of data, even when real data is scarce. Active learning enables the […]

Human factors play a predominant role in IBER’s production processes i.e., the processes are not fully automated. Hence, training of human resources in the various production processes is planned and carried out in advance, in accordance with appropriate operational methods. This will lead to improvement of operative methods and consequently to the reduction of human errors […]

This use case is related to the detection of human presence and prediction of their behaviors. Having the human factor taken into account, together with robot navigation, better planning can be achieved but also a safer environment. In this regard, DFKI-EI simulated a typical working day where ten (10) workers participated. The tasks of the workers […]

Once a model is deployed in production, it requires careful maintenance. During production, unforeseen issues can arise, and humans are essential for immediate problem-solving and recalibration of the model. The synergy of machine learning models with human expertise is therefore crucial to optimize the production quality control process. Human feedback is vital for refining the […]

This Use Case linearizes production planning towards reducing the work peaks and consequently the number of extra work hours, but also towards reducing production down times as well. It leverages advanced online process sensing/monitoring systems and different parameters and variables into the manufacturing process and products. To this end, non-destructive testing techniques are employed in order to […]

This Use Case develops human-centred digital twins that simulate production processes in real time, towards identifying scenarios that ensure safety and achieve the required flexibility. The digital twin enables the high-level planning and management systems to access detailed real time information from the production line, in order to get the general state of any production […]

This use case consists in the dynamic update to the navigation route of the mobile robot, by considering human and/or other (non-moving) objects in the environment. It enables easier reconfiguration of the robot in case the layout of the environment (including the production stations) changes. The layout is constantly monitored with the help of two […]

This use case emphasizes on the safety of interactions between human and machine during quality inspection tasks. In this use-case the goal is to ensure mental and physical safety of the factory workers, by monitoring workers’ fatigue when performing manual labelling of images.  By detecting workers’ fatigue, attention and/or mental stress during the labelling process […]