The need for implementation of flexible production systems leads to the rapid development of Artificial Intelligence (AI) applications. Flexibility is achieved via the deployment of industrial robots which their operation is not limited on repetitive tasks but is also driven by sensors’ data and recognize the status of the managed system. Robots are equipped with tools based on Artificial Intelligence. In more detail AI algorithms and Robots’ Digital Models are deployed to train the system aiming to predict the robot’s behaviour. In addition, advanced controllers receive data from sensor networks and via AI algorithms can provide correction actions aiming to optimize the accuracy of the arm trajectory.
In the context of Industry 4.0, manufacturing industries increase their productivity, reduce production and scrap times and introduce the circular economy through integration into existing production systems such as Automatic integration, Intelligent design , Cognitive control, etc., which are achieved through the application of various technologies such as Internet of Things (Internet of Things – IoT), Intelligent industrial robots, 3D printing (additive manufacturing), Artificial Intelligence and Virtual Reality.
Creating smart solutions, upgrading, and modernizing processing / production devices to increase competitiveness are based on the discussed tools. More specifically, the modelling and simulation of complex production processes to optimize them, using advanced methods of analysis (e.g., Neural Networks, Artificial Intelligence systems, molecular dynamics, hybrid methods, finite elements, etc.) are key tool for improving productivity and product quality of manufacturing industries.
Mixed Reality technologies are a combination of augmented reality (AR) and virtual reality (VR). These technologies have a dual purpose:
1) to monitor, supervise and control production remotely or in a mixed way, contributing to physical safety and ergonomics,
2) to contribute on training by offering various realistic handling scenarios (both literally and figuratively) using Mixed Reality technology.
State-of-the-art communications and 5G can significantly enhance the distance learning and the training processes which are the core competencies and services of the Competence Centre. Researchers, small and medium enterprises, and large companies can use the 5G infrastructure for educational, experimental and development purposes. The 5G infrastructure will promote rapid technological changes that will enable the full development of the digital industry, the intelligent systems industry, the Internet of Things, as well as the advanced production systems.
Integration of Safety Radar Sensors in a moving Trolley system
Increase Operator Awareness by providing Vision & Sound notifications
Improve harsh manufacturing environments safety for operators
Detection of operators when moving close to a working machine
Increase operator awareness when moving close to a working Trolley
Provide additional safety precaution measures for operators
Avoid operator injuries
Improve working conditions
Integration of Safety Laser Scanner in a moving Disksaw Machine
Increase Operator Awareness by providing Vision & Sound notifications
Improve harsh manufacturing environments safety for operators
Detection of operators when moving close to a working machine
Create safer working conditions
Increase operator awareness when moving close to a working Trolley
Provide additional safety precaution measures for operators
Avoid operator injuries
Improve working conditions
Integration of Non-contact safety switches at door/window fenced area for stopping the machine from working, when the door/window is open
Connection and programming with a safety PLC
Creation of a user-friendly interface
Integration of a Safely Laser Scanner for the detection of operators inside the fenced area
Improve harsh manufacturing environments safety for operators
Stop the machine from working when human presence is detected or when a door/window is open
Detection of operators when moving close to a working machine
Create safer working conditions
Improve the already installed system to PL=d
Provide additional safety precaution measures for operators
Avoid operator injuries
Installation of AI cameras for pedestrian detection
Installation of a 7’ monitor inside the cabinet drivers
Provide drivers with extra notification system in case operators are close to an operating heavy duty vehicle
Detection of operators when moving close to a working machine
Create safer working conditions
Detection of pedestrians around heavy duty working vehicles
Provide visual and sound notifications to the drivers and increase their awareness when operating
Easy to reconfigure the system to detect also other vehicles and obstacles
Virtual Reality Scenarios simulating the real-world hazards
Design and Development of workplace digital replica
Modeling of Scenarios for safety training of employees
Increasing safety confidence of employees
Eliminating training time while operating
Upskilling and retention of competences through continuous offline practicing
In the context of continuous improvement, Engineer is prompted for redesign
Operator enters VR and performs task – Engineer observes
The system outputs an analysis of the users’ movement in the Engineer UI
Modifications are performed collaboratively in the virtual workplace and validated
Promoting Health and Safety Culture
Record of operator movements through multi-camera setup
Automatic generation of KPI through custom made software
Data monitoring through interactive UI