Towards Industrial Assistance Systems: Experiences of Applying Multi-sensor Fusion in Harsh Environments

Haslgrübler, Michael; Gollan, Benedikt; Ferscha, Alois

doi:10.1007/978-3-030-27950-9_9

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…Serious additional effort for a data-scientist might be required [HGF19]. c If (a) and (b) are not possible, human object interaction (HOI) detection through cameras [HRS + 17] has to be employed.…”

Section: A Very Recent Study Of Alam Et Al [Arh + 20] Developed An Io...mentioning

confidence: 99%

Sustainability Through Cognition Aware Safety Systems -- Next Level Human-Machine-Interaction

Mangler,

Diwol,

Etz

et al. 2021

Preprint

Self Cite

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Industrial Safety deals with the physical integrity of humans, machines and the environment when they interact during production scenarios. Industrial Safety is subject to a rigorous certification process that leads to inflexible settings, in which all changes are forbidden. With the progressing introduction of smart robotics and smart machinery to the factory floor, combined with an increasing shortage of skilled workers, it becomes imperative that safety scenarios incorporate a flexible handling of the boundary between humans, machines and the environment. In order to increase the well-being of workers, reduce accidents, and compensate for different skill sets, the configuration of machines and the factory floor should be dynamically adapted, while still enforcing functional safety requirements. The contribution of this paper is as follows:(1) We present a set of three scenarios, and discuss how industrial safety mechanisms could be augmented through dynamic changes to the work environment in order to decrease potential accidents, and thus increase productivity. (2) We introduce the concept of a Cognition Aware Safety System (CASS) and its architecture. The idea behind CASS is to integrate AI based reasoning about human load, stress, and attention with AI based selection of actions to avoid the triggering of safety stops. (3) And finally, we will describe the required performance measurement dimensions for a quantitative performance measurement model to enable

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Section: A Very Recent Study Of Alam Et Al [Arh + 20] Developed An Io...mentioning

confidence: 99%

Sustainability Through Cognition Aware Safety Systems -- Next Level Human-Machine-Interaction

Mangler,

Diwol,

Etz

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Real-Time Assembly Operation Recognition with Fog Computing and Transfer Learning for Human-Centered Intelligent Manufacturing

Tao

Al-Amin

Chen

et al. 2020

Procedia Manufacturing

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Towards Industrial Assistance Systems: Experiences of Applying Multi-sensor Fusion in Harsh Environments

Cited by 2 publications

References 47 publications

Sustainability Through Cognition Aware Safety Systems -- Next Level Human-Machine-Interaction

Sustainability Through Cognition Aware Safety Systems -- Next Level Human-Machine-Interaction

Real-Time Assembly Operation Recognition with Fog Computing and Transfer Learning for Human-Centered Intelligent Manufacturing

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