Tag: System
AMR Safety
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 […]
Read more »Fatigue Monitoring System (FaMS)
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
Read more »ProSeS BDE System
The BDE system links production machines and PC workstations. The hardware captures the cycles of all machine and control system types. The system comprises operating terminals, signal acquisition modules and software and covers the three main task areas production control, quality control and real-time display. DevelopersProSeS ProvideJob PlanningStatistical Process ControlDistributed Numerical Control SupportOperation Data AcquisitionProcess Data […]
Read more »Runtime Monitoring System (RMS)
RMS is a Data collection framework which provides the specifications and relevant implementation to enable a real time data collection, transformation, filtering, and management service to facilitate data consumers (i.e., analytic algorithms). The framework can be applied in IoT environments supporting solutions in various domains (e.g., Industrial, Cybersecurity, etc.). The design of the framework is […]
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