Tag: Artificial Intelligence

This module provides a placeholder for AL systems i.e., AI systems that can consult an authority (e.g., a human) in the cases where they lack data/information to take proper decisions. DevelopersJSI Developed in ProjectDeveloped in STARSTAR TrendArtificial Intelligence TypesSoftwareMachine Learning Used in ProjectUsed in STAR

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 […]

The module implements different strategies in response to various attacks against AI system, notably poisoning and evasion attacks. DevelopersUBITECH DetectPoisoning Attacks Adversarial AttemptsAdversarial Data Samples Developed in ProjectDeveloped in STARSTAR PreventEvasion Attacks TrendArtificial Intelligence TypesSoftwareData Protection Used in ProjectUsed in STAR

It is composed by a safety zone detector and a robot planner. The first module will be used to provide insights on the safe placement of robots in a manufacturing environment. TRL4 DevelopersTHALES, University of Groningen CommunicationEthernet Developed in ProjectDeveloped in STARSTAR ProvideInsightsSafety Zone Detection TrendIndustry 4.0Artificial Intelligence Type of Machine LearningSupervised Object ClassificationFrugal Learning […]

Distributed Ledger Services for Data Reliability (DLSDR) provides a decentralized data reliability solution for industrial AI algorithms configurations and results. It offers an Analytics Engine Configuration (AEC) Service that supports Analytics by providing the capability for distributing analytics manifest objects across multiple gateways. Additionally, it offers an Analytics Results Publishing (ARP) Service,  that makes it […]

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 module provides and executes Explainable Artificial Intelligence models and algorithms. DevelopersUNIPI Developed in ProjectDeveloped in STARSTAR TrendArtificial Intelligence TypesSoftwarePlatform Used in ProjectUsed in STAR

FaMS uses artificial intelligence (AI) models relying on machine learning to estimate fatigue exertion level and mental stress of subjects based on static data (e.g., age, weight, etc.) as well as dynamic data (e.g., HR, EDA, skin temperature). DevelopersSUPSI AlgorithmMachine Learning Developed in ProjectDeveloped in STARSTAR TrendArtificial Intelligence TypesSoftwareSystem Used in ProjectUsed in STAR

The platform supports human in the loop processes provides feedback/results on workers’ safety and performance. DevelopersSUPSI Developed in ProjectDeveloped in STARSTAR MonitorWorkers TrendArtificial Intelligence TypesSoftwarePlatform Used in ProjectUsed in STAR