Quality Control Methodologies for Advanced EMI Sensor Data Acquisition and Anomaly Classification - Former Southwestern Proving Ground, Arkansas | Zendy

Ryan Steigerwalt | Zendy

Open Access

Quality Control Methodologies for Advanced EMI Sensor Data Acquisition and Anomaly Classification - Former Southwestern Proving Ground, Arkansas

Author(s) -

Ryan Steigerwalt

Publication year - 2015

Language(s) - English

Resource type - Reports

DOI - 10.21236/ada626409

Subject(s) - emi , anomaly detection , quality (philosophy) , anomaly (physics) , control (management) , data mining , computer science , data quality , engineering , artificial intelligence , electromagnetic interference , telecommunications , physics , operations management , metric (unit) , quantum mechanics , condensed matter physics

: This report details a live site demonstration project conducted by WESTON at the former Southwestern Proving Ground (SWPG) as part of Environmental Security Technology Certification Program (ESTCP) Munitions Response Project MR-201231. The purpose of the project was to demonstrate the effectiveness of the advanced sensor and classification methodology for identifying targets of interest (TOIs) at a site containing a diversity of munitions in high concentrations. A total of 11.23 acres of dynamic surveys were conducted using MetalMapper advanced electromagnetic induction (EMI) sensor. A total of 2,116 targets were selected from the dynamic data for cued investigation, and 1,398 targets were intrusively investigated. The classification methodology resulted in the correct classification of 100% of TOI and yielded a reduction in clutter digs of 83%.

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