Artificial Intelligence as our friend: The partner consortium of the SmartFactoryKL Industrie 4.0 production plant demonstrates how to implement AI as a partner for people in an Industrie 4.0 environment at the Hannover Messe from April 23-27, 2018.
Three scenarios are introduced that can be efficiently realized only by using AI and augmented reality (AR): Predictive maintenance, remote servicing, and knowledge management. In all cases, huge data volumes are quickly and reliably captured, evaluated, and provided to people in a filtered, appropriate format – a feat that humans are unable to perform without technical assistance. The joint exhibit stand of SmartFactoryKL and the German Research Center for Artificial Intelligence (DFKI) is located in Hall 8, Stand D18.
The partner consortium of the SmartFactoryKL Industrie 4.0 production plant shows the “Predictive Maintenance” use case at Hannover Messe. AR promises to guide workers on the scene through the required maintenance procedures. The use of data glasses, for example, is a tested and reliable aid: information and work instructions are projected into the worker’s glasses, freeing both hands to carry out the required tasks. The result is a more intuitive and improved fault resolution. Remote maintenance is also simplified by the use of AI, for example, by enabling an engineer from the office to directly support technicians in the field.
The use of artificial intelligence is also beneficial in passing on the valuable know-how of older employees to younger colleagues. In the factories of the future, the experienced employee will be able to record important steps in the setup, operation, or repair of installed units with the help of cameras. The inexperienced employee then uses the data glasses to access AI tools for image recognition. The right work instructions are displayed in the data glasses with the help of augmented reality and the worker can perform the tasks more efficiently.
“AI systems can provide context-sensitive information, analyze motion sequences, verify the result of specific motion sequences, and reduce the need for human input during the production process. We see great potential in AI-based applications, especially, in the area of knowledge management,” Prof. Dr. Martin Ruskowski, Head of Innovative Factory Systems Research Department at DFKI and an expert in the field of AI in production, said.
More information here.