Abstract
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.
Highlights
Object localization in indoor space has paramount importance considering the number of use cases for IoT applications and business advantages
Receive Signal Strength Indication (RSSI) based wireless localization has been used in millions of applications across the world
The location accuracy observed is under 1.4 meters
Summary
Object localization in indoor space has paramount importance considering the number of use cases for IoT applications and business advantages. The key advantages of BLE devices are: power saving, light weight, small size and low cost It uses data structure with different hierarchy for information storage and advertises the signals consisting of services and characteristics for communicating with other devices. Chandak: Locating Objects in Warehouses Using BLE Beacons & Machine Learning area and labelled as localized. 3) Deploy the solution in the warehouses so as to reduce the overall system cost To resolve these challenges, the proposed work uses Eddystone BLE beacons for transmitting rich and strong data to the system. The proposed work mainly aims at reducing the error in accuracy & providing a cost-effective solution. It uses three advertising channels data as an input.
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