The awesome components partners bring to KITT4SME.
Below is the software KITT4SME partners are integrating into the platform. For each component there's a short description of what it does, its purpose in the platform and role in the architecture as well as why it's valuable. Please use this template to add a new component to the list.
Also, we've started working on a platform exploitation doc, but this is still early-day kind of stuff since we haven't fleshed out key aspects like business model, strategy, etc.
TODO. Group the services below by functional area according to the KITT4SME's 3-fold value proposition—product quality, production line reconfiguration, staff productivity.
- AI for Quality Inspection Systems. AI with data augmentation for continuous evaluation, fine tunning and re-configuration of quality control. Developed by R2M.
- Vision for Quality Excellence. Deep learning image processing by Rovimatica to inspect and evaluate the quality of manufacturing parts.
- Shop Floor Anomaly Detection System. Ginkgo's machine learning solution for real-time welding point anomaly detection and welding output Joules forecasting.
- Milling Quality Control. CSIC's solution for quality control of micro-mechanical milling operations originally developed in the GAMHE 5.0 pilot line.
- Insight Generator. Provides pivotal insights to optimise manufacturing systems. Insight Generator uses machine-learning techniques to analyse historical data and determine the most suitable configuration to optimise a manufacturing system depending on user-defined KPIs. Insight Generator has been developed by CSIC.
- Shop Floor Reconfigurator. AI recommender enabling in-process reconfiguration. It can suggest how to reconfigure shop floor machines in near real-time or even automatically reconfigure the machines. Developed by CSIC.
- Manufacturing Process Management System. Orchestrates humans and machines involved in a production line by keeping a model of the production process to timely assign tasks and coordinate work. Jointly developed by CSIC and European Dynamics.
- Production System Profiler. Identifies worker skills and factory needs at various levels—whole plant, production line, workplace. Jointly developed by Holonix and the Warsaw University of Technology.
- Worker Profiler. Service to suggest training programmes depending on worker's skills and aspirations as well their role in the company. Developed by Holonix and Gate.
- Catalogue of Qualified Training Experiences. Gate's dynamic and comprehensive catalogue of training experiences to be used by the matchmaking tool.
- Competence Matchmaking Tool. SUPSI's service to suggest personalised staff training in order to increase staff productivity and, consequently, production line efficiency.
- Fatigue Monitoring System. Service for predicting the perceived fatigue exertion of workers. Developed by SUPSI.
- SME-Oriented Platform Configurator. Developed by SUPSI.
- Intervention Manager. Service to define intervention rules for orchestrating a production system. Developed by SUPSI.
- Marketplace. A customisation of the Robotics and Automation Marketplace jointly developed by European Dynamics and VTT for the specific needs of the KITT4SME project.
- Data sheets. Digital data sheets for module composability developed by VTT.
- Adaptive Questionnaire. SUPSI's AI-powered questionnaire to determine the most suitable service kit for a manufacturing company.
- Sensing Layer. IoT connectivity solution developed by Holonix.
- FIWARE middleware. "Powered by FIWARE" IoT communication, data exchange and interoperability backbone developed by Martel.
- QuantumLeap. Service for storing and querying spatial-temporal IoT data developed by Martel.
- TODO