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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01c247dv95g
Title: RFID Reader Array in Large Area Applications for Smart Space Object Detection
Authors: Coronado Winn, Chloe
Advisors: Verma, Naveen
Department: Electrical Engineering
Certificate Program: Robotics & Intelligent Systems Program
Class Year: 2019
Abstract: This report presents the redesign of an RFID reader array for smart space applications using CMOS technology. The research is motivated by the need to improve the integration of Artificial Intelligence (AI) into the physical world. Improved integration can be seen in the use of innovative designs to create an interface connecting the physical world to machine learning algorithms by forming an Internet of Things (IoT). The solution to bridging this software-hardware gap imagines the unique application of an existing technology – Radio Frequency Identification (RFID). In this design, RFID, generally used in shipping and inventory, is used as a sensing mechanism connecting everyday physical objects and algorithms. The overall concept looks to exploit the advantages of Large-Area Electronics (i.e. that they allow for the creation of thin, flexible circuits) for seamless integration into home environments. This interface in application would require the creation of a hybrid thin-film-transistor (TFT) and Complementary Metal Oxide Semiconductor (CMOS) system. TFT for would be used for integration into the physical space and CMOS for processing and transmission to the software realm. However, to fully optimize the system in totality, a complete CMOS system design is necessary for rapid prototyping and large-scale testing. This concept imagines future applications in a smart home by creating a smart surface for object detection coupled with sensors to collect information on human sound and movement, thereby allowing for human activity perception by an intelligent space.
URI: http://arks.princeton.edu/ark:/88435/dsp01c247dv95g
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Electrical and Computer Engineering, 1932-2023

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