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fischertechnik
Artificial intelligence in research, education and industry
The use of artificial intelligence in industry, education and research is becoming more and more important. The Quality Control with AI System model from fischertechnik is ideal for visualising this complex subject in a hands-on way since it creates a sustainable learning experience by linking theory and practice.
Visualizing quality assurance through AI with fischertechnik
The use of artificial intelligence in quality control brings numerous advantages, which are already being used in the automotive industry for instance. Processes can be speeded up, fault rates and costs minimised and fault evaluation standardised. The fischertechnik sorting line is supplied with workpieces in three different colours. These workpieces are marked with three processing characteristics as well as different fault patterns. The workpieces are scanned by the camera and classified with the aid of the trained AI. Depending on colour, feature and fault pattern, the workpieces are then sorted by the artificial intelligence on the basis of their quality features. The AI used is realised with machine learning in Tensorflow, where an artificial neuronal network was trained with image data. The learned AI is executed on the fischertechnik TXT 4.0 Controller. The model’s sequence control is implemented in the ROBO Pro Coding programming environment and in Python.
Generate your own AI applications
If you want to go a step further, you have the option of generating your own AI applications. The training is done in Python, for which a suitable example project is provided for explanation.
Sorting line for workpieces in 3 different colors (white, red, blue), with 3 different machining features (bore, gouges, bore+gouges) as well as different error patterns (bore out-of-round, bore missing, gouges missing completely or partially, cracks in the workpiece. These machining and defect features are simulated with corresponding adhesive labels on the workpieces. The workpieces are scanned by the camera and classified using the trained AI. Depending on the color, feature and defect pattern, the workpieces are then sorted into 4 different bays. The AI is implemented with Tensorflow and is run on the TXT 4.0 controller. Own AI models can also be generated. The training is done on a computer in Python. A corresponding example project is provided. The sequence control for the sorting system is implemented in the programming environment ROBO Pro Coding and in Python.
Training models in 9V and 24V
Ready-to-assemble, compact training models for simulating real applications - fischertechnik is also highly regarded by engineers and trainers.
The training and demonstration models from fischertechnik are suitable for education, training and industry. Whether it's at the 9V standard voltage or in the worldwide 24V industry standard, fischertechnik supplies a wide range of simulation models tailored to the needs of your choice.
The training models from fischertechnik are the frequently preferred and proven means to plan, program, develop and test industrial controls with the corresponding software in a realistic and cost-effective manner before large investments are made. They are used worldwide in the areas of education, development, simulation and presentation.
For our training models, we provide CAD data on request - these can be further processed up to the digital twin.
The 3D animation shown here was created by Accelerated Solutions GmbH and is for demonstration purposes.
Connections of the flexible and modular fischertechnik system with industry-compatible actuators and sensors as well as controls of leading manufacturers open up almost unlimited possibilities for hardware simulation.
Complicated, technical systems are presented realistically and so perfectly simulated that they are comprehensible to everyone. Large industrial projects can be depicted in the model. This makes the functionality and feasibility clear.
The connections of the flexible and modular fischertechnik system with industrial actuators and sensors as well as the control systems of leading manufacturers open up almost unlimited possibilities for hardware simulation.
The fischertechnik simulation and training models thus open up flexible possibilities for industry, education and schools to test processes and to communicate technical basics easily.
Light metal foundry of the BMW Group
In the light metal foundry of the BMW Group's Landshut plant, the start-up of the production facilities is to be made safer and more efficient with the help of two measures: Standardization and virtual commissioning.
>> To the project
SmARt Factory - fischertechnik factory model virtually extended
As part of a project, the company Accso GmbH enables the planning, analysis and visualization of production plants with the SmARt Factory and augmented reality applications.
From a 3D CAD model of the high-bay warehouse a digital twin was created - Furtwangen University
With the digital twin, it was shown how the development of a control program can be carried out via SiL (Software in the Loop) simulation without physically existing hardware, thus enabling virtual commissioning of the complete plant.
IoT simulation - Objektkultur Software GmbH
With the help of IoT simulation, Objektkultur Software GmbH was able to show how a factory equipped with IoT can be quickly and securely integrated into the existing IT and controlled in the cloud.
Pilz Education Systems PES - Pilz GmbH & Co. KG
The Pilz Education Systems PES are modular training systems with modern industrially used components for practical instruction in electrical engineering.
RISE Remote Support - RISE Technologies GmbH
RISE Technologies GmbH is a software service provider and regularly travels to major trade fairs to demonstrate its digital innovation RISE Remote Support and make it tangible for visitors.
Sorting line with colour recognition - Staatliche Technikakademie Weilburg
The students of the Staatliche Technikakademie Weilburg programmed an independent project with fischertechnik using LabView. They extended the part of the sorting line with colour recognition from the factory simulation and turned it into an independent project.
>>To the project
Programming a fischertechnik model - Staatliche Technikakademie Weilburg
The students of the Staatliche Technikakademie Weilburg programmed an independent project with fischertechnik using LabView. They removed the sorting line and the cycle line from the factory simulation and installed these two components together.
