Fischertechnik Quality assurance with AI simulation model Finished device 9 V

Artificial Intelligence in Research, Education, and Industry

The use of artificial intelligence in industry, education, and research is becoming increasingly important. To visualize this complex topic hands-on, the quality assurance model with AI systems from fischertechnik is excellent. It creates a sustainable learning experience by linking theory and practice.

Visualization of Quality Assurance through AI with fischertechnik

The application of artificial intelligence in quality control offers many advantages that are already being utilized in the automotive industry, for example. Processes can be shortened, error rates and costs minimized, and error evaluation standardized. The fischertechnik sorting system is delivered with workpieces in three different colors. These workpieces are equipped with three processing features and various error patterns. The workpieces are scanned by the camera and classified with the help of the trained AI. Depending on color, feature, and error pattern, the workpieces are then sorted by the artificial intelligence based on their quality characteristics.

The AI used is implemented with machine learning in TensorFlow, where an artificial neural network has been trained with image data. The trained AI runs on the fischertechnik TXT 4.0 controller. The control sequence of the model is implemented in the ROBO Pro Coding programming environment and in Python.

Generating Your Own AI Applications

For those who want to take a step further, there is the option to generate their own AI applications. Training is done in Python, for which a corresponding example project is provided for explanation.