Sirvi Märksõna "RFID" järgi

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An analysis of the HID® Indala and Seos™ protocols
(Tartu Ülikool, 2021) Luud, Hain; Morgan, Danielle, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
This thesis aims to give a more detailed and comprehensive overview of the two most used door access control technologies in the University of Tartu buildings: Indala and Seos™, than what is currently publicly available. The wireless communication protocols, memory layout, and how they hold up to common RFID card vulnerabilities were studied to analyse these technologies. Additionally, a Java card applet was developed to assist further research into Seos™ and other high-frequency cards. The research identified that both technologies use very different methods for card authentication, have contrasting memory layouts and operate on two distinct frequencies. One significant finding was that Indala cards are susceptible to cloning and replay attacks. Additionally, it was found that the average Levenshtein distance of the 13 Indala 224-bit UIDs collected for research was 12 nibbles. Another important finding was that the RNG used in a Seos™ card might be weak. In an experiment comparing a large number of UIDs generated both by using the card and the Python Numpy library, the Seos™ dataset exhibited a statistically unlikely amount of UID collisions.
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Development of an Autonomous Open-Source Inventory Performance Robot for the University of Tartu Library
(Tartu Ülikool, 2025) Zvirgzdina, Robina; Raudmäe, Renno, juhendaja; Vunder, Veiko, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Bioinseneeria instituut
Inventory management is crucial for the successful functioning of a venue. Manual inventory management and asset tracking can be time-consuming, dull, and inefficient. In particular, in large-scale libraries, it can take personnel months to perform a single inventory round of all the books. Nowadays, using advanced robotics solutions, it is possible to automate the process and provide more accurate information on the availability and location of the desired book. This results in higher satisfaction for librarians and visitors, as they can successfully find the books of interest. This thesis aims to create an open-source solution that contains a radio frequency identification system for the University of Tartu library. The result is intended to use the Robotont project as a base platform. It should be able to autonomously navigate through library halls while scanning the bookshelves and adjusting the antenna height for it to be at the same level as the books. Simultaneously, it should document the book IDs and their location to produce a heat map containing the most probable location for each book.
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Esemete jälgimissüsteem
(Tartu Ülikool, 2018) Kool, Mario; Kasemägi, Heiki, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Tehnoloogiainstituut
Tartu ülikooli poolt õppetöös kasutatavate seadmete hulk aina kasvab. Suur seadmete hulk toob kaasa selle, et nende jälgimine muutub aina keerulisemaks. Selle probleemi aitab lahendada tänapäeval laialdaselt kasutatud automaatse tuvastuse tehnoloogia. Käesoleva töö eesmärgiks on uurida automaatse tuvastuse võimalusi ning koostada süsteem, mis suudab automaatselt tuvastada esemeid, mis on vastavalt märgistatud. Koostatud süsteem kasutab raadiosagedustuvastus tehnoloogiat.
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RFID + raamatukogu
(2011-03-03) Kondratjev, Peeter
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RFID jaekaubanduses
(Tartu Ülikool, 2025) Kõiv, Andres; Ševtšenko, Eduard , juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The thesis analyzes the use and impact of RFID technology in retail, focusing on improving supply chain transparency, inventory accuracy, process efficiency, and customer experience. It presents a theoretical overview, empirical analysis, and an implementation model to support the successful adoption of RFID solutions.
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Tartu Smart Bike Share Access Cards Authentication Analysis
(Tartu Ülikool, 2021) Vahe, Peeter; Morgan, Danielle Melissa, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
The aim of this bachelor's thesis is to study the cards used for unlocking the bikes in the Tartu Smart Bike Share system and how functional duplicates can be made of the aforementioned cards. The cards examined are the following: a separate ISIC card that is not bundled with a bank card, Tallinn’s Public Transportation Card and Tartu’s bus card. All the above-mentioned cards are MIFARE cards that use RFID technology. During the course of the work, it will be studied whether and how the aforementioned cards can be cloned into the so-called “Chinese Magic Cards” so that they can be used to open the bikes in the Tartu Smart Bike Share system using the Proxmark 3 RFID analysis tool. The data in the cards and their unique features will be explored and explained. Finally, the study will show how the cloning process works and how the cards are authenticated. Suggestions for improving the authentication process is also provided.