Smart monitoring with AI
Image processing systems that react to errors in real time are an essential component of automated inspections. What contribution can artificial intelligence make to this?
Articles and background information on the topic
Image processing systems that react to errors in real time are an essential component of automated inspections. What contribution can artificial intelligence make to this?
According to many experts, the potential of artificial intelligence in the manufacturing environment is enormous. Preconfigured or AI-adapted computer solutions make it easier to get started with the new technology.
A study commissioned by the German Federal Ministry for Economic Affairs and Energy demonstrates the high value creation potential of AI in the manufacturing industry. The authors of the study, Dr. Inessa Seifert and Dr. Leo Wangler, provide information on the approach and specific results.
What is the difference between machine learning (ML) and artificial intelligence (AI)? And why should German mechanical engineers not bury their heads in the sand, despite the many times greater investment in AI in nations such as China or the USA? An analysis of the situation.
Grasping any object without knowing it in advance is an almost insurmountable task for robots. An AI-based software solution in combination with an intelligent 3D stereo vision camera solves this problem.
AI-based technologies such as deep learning are often already part of machine vision solutions. This raises the question of whether an open source system meets your own requirements or whether it is worth investing in a proprietary software solution. A consideration.
Cyber attacks are becoming increasingly difficult to detect and fend off. There are now initial approaches using artificial intelligence (AI) that can also detect previously hidden behaviors of attackers in networks.
Artificial intelligence is moving into the industrial sector. But how should AI be defined from a production perspective? And to what extent can it support companies on the path towards Industry 4.0?
Companies can prevent production downtimes with predictive maintenance and repair measures. This is where decision software based on advanced fuzzy logic combined with artificial neural networks can help.
The buzzword 'artificial intelligence' is currently omnipresent. The use of AI in production is also intended to help eliminate bottlenecks and increase overall plant efficiency. But where are the mechanisms behind this best placed?