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Asset Localization using the Bluetooth Fingerprinting technique

Veerman, M.L. (2023) Asset Localization using the Bluetooth Fingerprinting technique.

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Abstract:Knowing where something is, and being able to quickly look it up on a phone. While also having the ability to know where something has been can be of great value to evaluate and improve workflows. A typical scenario could be in a warehouse where an employee on the workfloor needs to locate a piece of equipment. Or that management would like to evaluate the forklift’s usage. This thesis proposes an architecture on how to reliably transport data from a wireless tracker to a dashboard that can be accessed remotely by a user.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:https://purl.utwente.nl/essays/95947
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