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NOSI (Novel Odor Sensing Intelligence) & ROSI (Reconnaissance Operations Security Intelligence) Controller - Responder Robots for Airport Security Operations

CSEF · 2023 Electronics & Electromagnetics Honorable_mention Award

Gandhi Serena · 9

Overview

The rise in global travel has led to an increased need for heightened security measures at airports. Despite the best efforts of airport security officers, in the past year, hundreds of kilograms of illegal drugs and over 6,000 types of invasive species have found their way into the country, posing a serious threat to public safety and the environment. Moreover, human threats pose a significant risk to civil aviation, which reinforces the need for advanced security technology. In response to these challenges, NOSI and ROSI, intelligence surveillance systems consisting of semi-autonomous controller-responder robots, were developed to supplement the efforts of Security and K-9 Operators at airports. NOSI is equipped with multi-channel gas-sensors for odor detection, enabling it to identify illegal drugs and invasive species in the baggage handling process, while ROSI is equipped with computer vision to recognize persons of interest. These coordinated robots also provide travelers with important information and allow them to trigger emergency alerts. Extensive testing in a simulated airport testbed was conducted to evaluate these robots’ effectiveness. Based on design criteria, NOSI and ROSI demonstrated success rates of 73.4% and 69.8%, respectively. Improvements in areas of robot stability, sensor accuracy, and feature expansion were documented for further development. In conclusion, the NOSI and ROSI framework can enhance the efficiency and accuracy of airport infrastructure monitoring and supplement the capabilities of human and K9 operators. Overall, this approach has the potential to revolutionize operations in various infrastructures and represents the future of human-robot collaborations.

Source coverage

This record comes from a published award list, not a complete project archive. Its abstract comes from CSEF's public project showcase as archived by the Internet Archive before judging (https://web.archive.org/web/20230401224130/https://ca-csef.zfairs.com/showcase/ShowcaseInfo?f=838e60b7-ea75-46e8-865c-fde4864244b3); the version presented may differ.

Awards (1)

  • Category Award: HM

Competition history

  • CSEF 2023 Electronics & Electromagnetics · Entry S1018

Resources

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