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Conference Paper
Deep Nose project: A Study of Multidimensional Multimodal Olfactory Intelligence System for Ultra-Trace Gas Component Detection
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- Issue Date
- 2023-11
- Citation
- IEEE Sensors 2023, pp.1-4
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- The Deep Nose project aims to develop an intelligent olfactory system using gas sensors and AI for efficient inspection of smuggling items, particularly narcotics. This study introduces the Deep Nose System, which incorporates a sensor array consisting of 56 gas sensors of different types to achieve multimodality and multidimensionality. The system collects data by injecting target gases mixed with various background gases and utilizes the Deep Nose AI algorithm for analysis. Preliminary results show promising detection accuracy for narcotics and other target gases. Ongoing research focuses on sensor optimization, expanding target gases, and developing a portable Deep Nose System for commercialization.
- KSP Keywords
- Background gases, Detection accuracy, Gas component, Intelligence system, Ongoing research, Sensor array, Target gases, Trace gas, Ultra-trace, gas sensors, olfactory system