Massachusetts Institute of Technology
Low dimensionality spectral sensing for low cost material discrimination and identification
Abstract
dc:description.abstractSpectroscopy is a powerful tool in material identification, characterization and discrimination. Unfortunately industrial and laboratory spectrometers are typically very large, costly, and inconvenient. The aim of this thesis is to broaden the awareness and appeal of spectroscopic sensing modalities by exploring specialized, rather than general purpose instruments. Rather than sensing the entire spectrum, these devices work by observing just the particular spectral features needed to perform identification or discrimination. This approach greatly simplifies the instrument reducing the cost, size, power consumption, and analysis complexity by many orders of magnitude. In this work the anatomy of such specialized sensors is explored by way of a thorough discussion of illuminators, current sources, photodetectors, photodiode amplifiers, control systems and part selection. In the following chapters, instruments are designed and fabricated, and their tradeoffs are enumerated and discussed. Finally, these building-blocks are combined to construct several working prototypes which are informally characterized.
Degree
thesis:*- Department dc:contributor.department
- Program in Media Arts and Sciences (Massachusetts Institute of Technology)
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Bardagjy, Andrew Matthew
- Advisor dc:contributor.advisor
-
- V. Michael Bove, Jr.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/79331
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/79331