Paper
10 February 1997 Electronic aroma detection technology for forensic and law enforcement applications
Stacy-Ann Barshick, Wayne H. Griest, Arpad A. Vass
Author Affiliations +
Proceedings Volume 2941, Forensic Evidence Analysis and Crime Scene Investigation; (1997) https://doi.org/10.1117/12.266314
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States
Abstract
A major problem hindering criminal investigations is the lack of appropriate tools for proper crime scene investigations. Often locating important pieces of evidence means relying on the ability of trained detection canines. Development of analytical technology to uncover and analyze evidence, potentially at the scene, could serve to expedite criminal investigations, searches, and court proceedings. To address this problem, a new technology based on gas sensor arrays was investigated for its applicability to forensic and law enforcement problems. The technology employs an array of sensors that respond to volatile chemical components yielding a characteristic 'fingerprint' pattern representative of the vapor-phase composition of a sample. Sample aromas can be analyzed and identified using artificial neural networks that are trained on known aroma patterns. Several candidate applications based on known technological needs of the forensic and law enforcement communities have been investigated. These applications have included the detection of aromas emanating from cadavers to aid in determining time since death, drug detection for deterring the manufacture, sale, and use of drugs of abuse, and the analysis of fire debris for accelerant identification. The result to date for these applications have been extremely promising and demonstrate the potential applicability of this technology for forensic use.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stacy-Ann Barshick, Wayne H. Griest, and Arpad A. Vass "Electronic aroma detection technology for forensic and law enforcement applications", Proc. SPIE 2941, Forensic Evidence Analysis and Crime Scene Investigation, (10 February 1997); https://doi.org/10.1117/12.266314
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Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Chemical analysis

Forensic science

Statistical analysis

Humidity

Neural networks

Databases

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