Indoor positioning of metal parts by fingerprinting using passive RFID
| Autor: | Aakash Bhatt, Thippeswamy Achar, Balan Gurumoorthy, Kiran Ghadge, Amaresh Chakrabarti |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science Smart factory Real-time computing Context (language use) 02 engineering and technology 010501 environmental sciences 01 natural sciences Identification (information) 020901 industrial engineering & automation Signal strength Position (vector) Feature (computer vision) General Earth and Planetary Sciences Factory (object-oriented programming) 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | Procedia CIRP. 88:60-63 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2020.05.011 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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