Summary
The Brainport DIH experiment was focused on the demonstration of an AI based hololens (AR) in assembly and operator support systems. The main idea of the experiment was to demonstrate the use of an AI based hololens to support operators with the assembly of high mix, low volume, high complexity modules. The main objective was to create the first steps towards adaptive AR support (ie. Hololens) for training and guidance in assembly making use of an AI based adaptive algorithm based on both productivity and quality as well as operator capacity and needs.
Recently, new technologies are entering the industrial market, such as Augmented Reality (AR). In these systems, the employee is guided step by step by means of projected instructions. The current systems are static: all operators receive similar instructions. However, there is a great need to make such systems adaptive and self-learning, which can be done using AI: dynamic customization of operator guidance based on skill level, performance, errors, instantaneous operator capacity and operator knowledge and feedback to improve effectivity of instructions.
This experiment has allowed efficient production of small, highly variable batches of different objects (in a nutshell, flexibility).
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| Country: | NL |
| Address: | Achtseweg zuid 159, Eindhoven 5651 |
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Demonstrators, pilots, prototypes
Significant innovations and lessons learned, training aspects
Comment:
Increase of productivity and quality of work (increase competiveness)
Increase in workers employability
Increase in job satisfaction and reduction of work-related stress
NACE code
(European) Digital Innovation Hubs (EDIH)
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An adaptive support system for training and guidance in assembly making use of an AI based adaptive algorithm based on both productivity and quality as well as operator capacity and needs