TY - GEN
T1 - Vibro-acoustic methods of insect detection in agricultural shipments and wood packing materials
AU - Sutin, Alexander
AU - Flynn, Timothy
AU - Salloum, Hady
AU - Sedunov, Nikolay
AU - Sinelnikov, Yegor
AU - Hull-Sanders, Helen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/7
Y1 - 2017/6/7
N2 - Stevens Institute of Technology has been investigating engineering solutions to augment the current inspection process at ports of entry in an effort to minimize the threat posed by invasive species. Stevens has built several sensitive acoustic systems for detection of tiny acoustic/vibrational signals produced by moving insects and tested them in two US ports of entry and at the USDA APHIS PPQ S&T facility in Buzzards Bay, MA. The system for insect detection in vegetables and herbs uses a soundproofed case where boxes filled with vegetables or herbs were placed during the test. For wood boring insects, sensitive custom-made accelerometers were built. Special algorithms for detection of events connected with insect movement and separating them from the ambient noise were developed. The tests demonstrating the system ability for insect detection were conducted with several representative insects, including: Khapra beetles in rice, Copitarsia larva and Helicoverpa zea in a large box of vegetables, and Asian Longhorned Beetles and Emerald Ash Borers in wood.
AB - Stevens Institute of Technology has been investigating engineering solutions to augment the current inspection process at ports of entry in an effort to minimize the threat posed by invasive species. Stevens has built several sensitive acoustic systems for detection of tiny acoustic/vibrational signals produced by moving insects and tested them in two US ports of entry and at the USDA APHIS PPQ S&T facility in Buzzards Bay, MA. The system for insect detection in vegetables and herbs uses a soundproofed case where boxes filled with vegetables or herbs were placed during the test. For wood boring insects, sensitive custom-made accelerometers were built. Special algorithms for detection of events connected with insect movement and separating them from the ambient noise were developed. The tests demonstrating the system ability for insect detection were conducted with several representative insects, including: Khapra beetles in rice, Copitarsia larva and Helicoverpa zea in a large box of vegetables, and Asian Longhorned Beetles and Emerald Ash Borers in wood.
KW - Invasive species
KW - Vibro-acoustic detection
UR - http://www.scopus.com/inward/record.url?scp=85023200446&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85023200446&partnerID=8YFLogxK
U2 - 10.1109/THS.2017.7943503
DO - 10.1109/THS.2017.7943503
M3 - Conference contribution
AN - SCOPUS:85023200446
T3 - 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
BT - 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
T2 - 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017
Y2 - 25 April 2017 through 26 April 2017
ER -