Sniffer, a protein-based advanced VOC sensor for victim search
Résumé
A miniaturized gas-sensing module composed of both commercial off-the-shelf gas sensors along with a novel sensor array combining Quartz Crystal Microbalance transducers coated with Odorant Binding Proteins (OBP) was developed. The so-called sniffer module was integrated into a search and rescue robot with the ultimate goal of improving the efficiency of Urban Search and Rescue (USaR) operations on disaster sites, typically following the collapse of buildings. The selection of sensors combined with a fuzzy logic algorithm were aimed at localizing human victims, together with the support from other sensing technologies including both visible/infrared video cameras and a microphone, and at discriminating between both alive and deceased victims, in order to prioritize the USaR operations.
Mots clés
victim search
gas sensor array
odor detection
embedded sensing module
instrumentation
sensor
Odorant Binding Proteins (OBP)
rescue robot
Urban Search and Rescue operations
disaster
fuzzy logic
artificial intelligence
online learning
localization
classification
Proteins
Temperature sensors
Transducers
Robot sensing systems
Safety
Security
Video Camera
Quartz Crystal Microbalance
Fuzzy Algorithm
Building Collapse
Infrared Imaging
3D Printing
Resonance Frequency
Pulse Width
Field Trials
Volatile Organic Compounds
Presence Of Signals
Putrescine
Safe Conditions
Fuzzy Rules
Chemical Markers
Person In The Room
Volatile Organic Compounds Emissions
Cadaverine
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