Affiliation:
1. St. Joseph’s Institute of Technology Chennai, India
Abstract
Asset tracking is a method of tracking physical objects that involves scanning barcode labels attached to the assets or using tags that transmit their location using GPS, BLE, or RFID. These technologies can also be used to track people who are wearing a tag inside a house. RFID tags that are 'passive' transmit their location, but their transmission range is small (typically a few meters). Manual barcode scanning, such as QR codes, may be used to monitor assets. Smartphones with cameras and dedicated applications, as well as barcode readers, can be used to scan QR codes. Even though Bluetooth wasn't designed for localization, it has been used and can provide more accuracy. But all these have certain limitations with itself. In this project, a system had been developed for theft prevention and recovery of lost assets in an easier and faster way. The user of this system can be able to track the location of the asset once it has been moved in a long distance or stolen. This project utilizes long distance RF communication modules such as LoRa modules which provide long distance communication in terms of kilometres. The hardware component includes micro-controller, GPS, LoRa modules, etc. The LoRa modules can be distributed across the city for tracking of the asset. As the asset moves around the city, the location of that asset is been transmitted to a nearby LoRa which is then transmitted to the mobile app developed independently for tracking the asset. By this the user can have a track of their valuable asset. Thus, this project will help us in tracking the lost asset in an easy and effective manner.
Reference15 articles.
1. Abdul Sattar Kakar , Dr Ely Salwana, Muhammad Sadiq Rohei, Dr Nordiana Binti Ahmad, “Design and Testing of an Epidermal RFID Mechanism in A Smart Indoor Human Tracking System”[2020].
2. Carolynn Bernier , François Dehmas , and Nicolas Deparis,” Low Complexity LoRa Frame Synchronization for Ultra-Low Power Software-Defined Radios”, MAY 2020.
3. Daniele Croce, Michele Gucciardo, Stefano Mangione, Giuseppe Santaromita, Ilenia Tinnirello,” LoRa Technology Demystified: from Link Behavior to Cell Capacity”,[2019]
4. Fengji Luo, Member, IEEE, Gianluca Ranzi, Member, IEEE, Xibin Wang, and Zhao Yang Dong, Fellow, IEEE,” Social Information Filtering Based Electricity Retail Plan Recommender System for Smart Grid End Users”,[2019].
5. F. Gimenez, C. Zerbini, and G. Riva,” Extending SMS Service Coverage in Rural Areas by Using LoRa Communication Technology ”,February 2020.