AI training model

  

Quality control with AI

The use of artificial intelligence in the production environment increases process stability, efficiency and quality enormously. One example is the implementation of machine learning for the quality control of haptic products. This increasing use of artificial intelligence in production 
not only requires investment in new technologies, but also the training of employees to use these technologies.

The fischertechnik simulation model demonstrates the advantages of artificial intelligence in the production environment in a low-threshold and impressive wa

Improved image recognition
Automated error detection
Predictive Maintenance
Real-time monitoring
Resource efficiency
Programming with python, TensorFlow, Robo Pro Coding 

Quality control with AI 9V

Visualize AI models and make them sustainably comprehensible

  • PLC basic program (structured text)
  • TypeScript for central control on the Raspberry Pi
  • Node-RED for communication between PLC and TXT 4.0 controller
  • Python for programs on TXT 4.0 Controller

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Agile Production Simulation

Agil, modular and connected - die factory of the future

  • Agile production
  • Digital production environment
  • Quality control with artificial intelligence
  • Automation and PLC programming

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