Locating Objects in Warehouses Using BLE Beacons & Machine Learning

Warehouse management plays a pivotal role to boost the entire supply chain. To increase productivity, enterprises are focusing on different object localization approaches to achieve better accuracy amid high interferences. This helps to reduce the overall time for order taking & perform e...

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Autores principales:	Hrushikesh Zadgaonkar, Manoj Chandak
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Indoor environments bluetooth radio communication machine learning warehousing Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/e78d4ea4b2b146ccbfcef83a1cf42131
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id	oai:doaj.org-article:e78d4ea4b2b146ccbfcef83a1cf42131
record_format	dspace
spelling	oai:doaj.org-article:e78d4ea4b2b146ccbfcef83a1cf421312021-11-20T00:01:28ZLocating Objects in Warehouses Using BLE Beacons & Machine Learning2169-353610.1109/ACCESS.2021.3127908https://doaj.org/article/e78d4ea4b2b146ccbfcef83a1cf421312021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9614122/https://doaj.org/toc/2169-3536Warehouse management plays a pivotal role to boost the entire supply chain. To increase productivity, enterprises are focusing on different object localization approaches to achieve better accuracy amid high interferences. This helps to reduce the overall time for order taking & perform effective stock management. For this purpose, we propose a cost-effective system to achieve better accuracy for locating objects in indoor spaces with the help of BLE beacons. BLE is the term used for the Bluetooth wireless standard for low power consumption. BLE beacons are used as technology enablers because BLE supports all the major mobile smart devices and tablets. The measurement is performed using Received Signal Strength Indication (RSSI). Also, improved the location accuracy with the help of machine learning algorithms & utilizing neighborhood beacons for real-world use cases of warehouse management. The target object & neighborhood beacons provide the raw data to the system & the mobile device acts as a receiver. Our results show that the proposed work provides high accuracy for finding resources, taking orders & improving the overall stock process in warehouse management.Hrushikesh ZadgaonkarManoj ChandakIEEEarticleIndoor environmentsbluetoothradio communicationmachine learningwarehousingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153116-153125 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Indoor environments bluetooth radio communication machine learning warehousing Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Indoor environments bluetooth radio communication machine learning warehousing Electrical engineering. Electronics. Nuclear engineering TK1-9971 Hrushikesh Zadgaonkar Manoj Chandak Locating Objects in Warehouses Using BLE Beacons & Machine Learning
description	Warehouse management plays a pivotal role to boost the entire supply chain. To increase productivity, enterprises are focusing on different object localization approaches to achieve better accuracy amid high interferences. This helps to reduce the overall time for order taking & perform effective stock management. For this purpose, we propose a cost-effective system to achieve better accuracy for locating objects in indoor spaces with the help of BLE beacons. BLE is the term used for the Bluetooth wireless standard for low power consumption. BLE beacons are used as technology enablers because BLE supports all the major mobile smart devices and tablets. The measurement is performed using Received Signal Strength Indication (RSSI). Also, improved the location accuracy with the help of machine learning algorithms & utilizing neighborhood beacons for real-world use cases of warehouse management. The target object & neighborhood beacons provide the raw data to the system & the mobile device acts as a receiver. Our results show that the proposed work provides high accuracy for finding resources, taking orders & improving the overall stock process in warehouse management.
format	article
author	Hrushikesh Zadgaonkar Manoj Chandak
author_facet	Hrushikesh Zadgaonkar Manoj Chandak
author_sort	Hrushikesh Zadgaonkar
title	Locating Objects in Warehouses Using BLE Beacons & Machine Learning
title_short	Locating Objects in Warehouses Using BLE Beacons & Machine Learning
title_full	Locating Objects in Warehouses Using BLE Beacons & Machine Learning
title_fullStr	Locating Objects in Warehouses Using BLE Beacons & Machine Learning
title_full_unstemmed	Locating Objects in Warehouses Using BLE Beacons & Machine Learning
title_sort	locating objects in warehouses using ble beacons & machine learning
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/e78d4ea4b2b146ccbfcef83a1cf42131
work_keys_str_mv	AT hrushikeshzadgaonkar locatingobjectsinwarehousesusingblebeaconsx0026machinelearning AT manojchandak locatingobjectsinwarehousesusingblebeaconsx0026machinelearning
_version_	1718419870615339008

Locating Objects in Warehouses Using BLE Beacons &#x0026; Machine Learning

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