Ghadge, K and Achar, T and Bhatt, A and Gurumoorthy, B and Chakrabarti, A (2020) Indoor positioning of metal parts by fingerprinting using passive RFID. In: 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering CIRP ICME 2019, 17-19, July 2019, Naples, Italy, pp. 60-63.
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Abstract
In a smart factory, location-aware functions are an important feature. An asset's position provides the context for making decisions in the factory. In this study, we have proposed a technique for positioning metal parts using a passive RFID (Radio-frequency identification) system. We applied the fingerprinting method using RSSI (Received Signal Strength Indicator) values of the tag to estimate its position. The position was estimated with an accuracy of 89 in an area of 3.6x3.6 m. This provides a potentially more affordable means of tracking metal parts in a factory, with acceptable accuracy at lower costs than other indoor positioning techniques. © 2020 The Authors.
| Item Type: | Conference Paper |
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| Publication: | Procedia CIRP |
| Publisher: | Elsevier B.V. |
| Additional Information: | The copyright of this article belongs to Elsevier B.V. |
| Keywords: | Indoor positioning systems; Intelligent computing; Manufacture; Mobile computing, Fingerprinting methods; Important features; Indoor positioning; Location-aware; Making decision; Metal parts; Passive RFID; Received signal strength indicators, Radio frequency identification (RFID) |
| Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
| Date Deposited: | 25 Aug 2020 06:54 |
| Last Modified: | 25 Aug 2020 06:54 |
| URI: | http://eprints.iisc.ac.in/id/eprint/66325 |
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