AI4SDW: AI FOR SAFE AND DECENT WORK: is an AI solution for human – machine interaction supported by a smart camera (HW- Box) equipped with the most advanced intelligent embedded system and powered by next generation AI native chip, that allow real time processing, assure privacy preservation and is cyber secure by design.
REORDINIS: Advanced Reconfiguration Optimization for Resource Distribution and Inventory Integration System: addresses the challenge of complex decision-making in production and inventory management. The solution consists of a set of AI technologies, namely simulation & search algorithms and knowledge-based models & queries, which optimize production plan (re)configuration and inventory management decisions to support operators and engineers.
OptiPLANT: Optimised Predictive Maintenance for Manufacturing SMEs through Automated ML: is a cloud-based system that empowers professional and non-professional data scientists to build high-quality predictive models for timely and optimised maintenance of the industrial machinery.
HE.Go.App: Health, safety and ErGonomics for the future human-centric factory, an integrated APPlication for increase factory safety and enhance social sustainability: a cloud-based solution based on a proprietary set of novel Artificial Intelligence-based algorithms able to recognize the workers’ gender, age, posture and movements in real-time from the video captured by every type of RGB cameras and monitor ergonomics to adapt both workspace and workload according to their personal profile, to inform about potential MSDs risks, to provide insights for improving the work environments.
XTREMESTREAM: Embedded machine learning of IoT streams to promote early detection of unsafe environments: proposes the development of an embedded Artificial intelligence solution for the early detection and screening of high-risk conditions in industrial environments, especially for gases emissions, volatile organic compounds and other environmental conditions as vibration, high temperatures and long-term high humidity exposure.
AI4MOS: Artificial Intelligence-based Multi-Objective Scheduling Optimization for Sustainable Manufacturing: aims to explore the integration of existing injection moulding machines and RAILES (Manufacturing Execution System) to extract data during the process. This data will then be used to create Artificial Intelligence models capable to optimizing the machine allocation according to the predicted energy and materials consumption.
THANOS: Throughput level controller based on fatigue monitoring and quality standards: aims at allowing manufacturing companies to deliver quality products to market faster than their competitors by delivering an AI-based quality control solution in partially automated production processes, that is where parts of the processes are automated and others are not, so that a strong dependence is found between the operators’ and the machines’ performances.
AIGreenWaste: AI technologies for green waste management: includes a decision support tool for plant operators based on simulations and scenarios developed by cognitive computing and ML solutions, and developed using the data from a plant in operation.
ExtruAI: Recommendation system for extruder steering based on artificial intelligence: focuses on supporting employees on the extrusion line in the food and plastics sector. In the event of quality deviations, the employee should be supported with recommendations for action in order to react quickly and optimally to variances in the process with new process parameters.
CNCSmart: CNCSmart – AI supported machine data acquisition and control: will predict real execution times of CNC part programs for metal-working industry cutting machines. It will use machine learning techniques to analyse CNC part programs and accurately estimate execution times based on historical data and different cutting parameters, like machine type, material type and thickness, operation and tools handling
