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LPR and Biometrics Capture Discussion

LPR and Biometrics Capture Discussion. April 2019. Agenda. License Plate Readers - Implemented and New Capabilities CBP Facial Biometric Identification Pilots (Cargo and POV) CBSA Secure Corridor Implementation Discussion LPR Hands-on (Kevin) Facility Tour (Tim)

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LPR and Biometrics Capture Discussion

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  1. LPR and Biometrics Capture Discussion April 2019

  2. Agenda License Plate Readers - Implemented and New Capabilities CBP Facial Biometric Identification Pilots (Cargo and POV) CBSA Secure Corridor Implementation Discussion LPR Hands-on (Kevin) Facility Tour (Tim) Lane of the Future & Emerging Technologies

  3. License Plate Reading / Biometric Capture • License Plate Reading and Biometric Capture should be accurate, reliable, and invisible to CBP Officers • Accuracy requires superior equipment, well-designed configurations, regular quality checks, and ongoing improvement • Reliability is achieved through testing, predictive maintenance based upon history, and integrating lessons learned • Invisibility to the CBP Officers is the result of dependable performance • Accuracy requires continuous performance monitoring, identifying improvements • New license plates are regularly issued by all states • Read rate accuracy is impacted by traffic patterns, plate trends, and weather patterns • Our recognition algorithm continues to grow. Hundreds of installations teach our system through daily data collection and processing. • Proactive ground truthing identifies and integrates new plates • Reliability is achieved by continuous design improvements • Must maintain operations in diverse environments, e.g., Alaska / Arizona / Maine / Florida • Equipment must be dependable, maintenance minimized, service times kept short • Fast, efficient, accurate recognition processing • Lessons learned are evaluated incorporated into next design

  4. Continuous Improvement = Accuracy and Reliability • Accuracy requires continuous performance monitoring, seeking areas for improvement • New license plates regularly issued by all states • Accuracy read rates are impacted by traffic patterns, plate trends and weather patterns • Recognition algorithms continue to grow. Hundreds of diverse installations teach our recognition system through daily data collection & processing. • Proactive Ground Truthing to identify & integrate new plates • Reliability is achieved by continuous design improvements • Must maintain operations in diverse environments, e.g., Alaska / Arizona / Maine / Florida • Equipment must be dependable, maintenance minimized, with short service times • Fast, efficient recognition processing is required • Lessons learned incorporated into next design

  5. License Plate Reading / Biometric Capture • Every port is unique, every lane is different. Vendors must assess and work within local constraints We can determine: • Equipment Selection: Imagers, lenses, lighting, triggers, timing • Lane Layouts: Camera angles and distances, equipment positions within lane restrictions • Configurations based upon Traffic: Regional plate variances, new plate designs, plate colors (letter & background colors), reflectivity We overcome: • Environmental Challenges – sun glare, rain/snow, road grime • Unreadable Plates - Dirty/damaged/missing/blocked • Blocked Faces – sunglasses, visors, car-carriers We are developing a Unique Vehicle ID (UVID) system to help when license plates are not fully readable

  6. Pembina, North Dakota Grand Portage, Minnesota San Ysidro, California Diverse Environmental Conditions Weathered By U.S. Installations of Perceptics Equipment Forest City, Maine Antelope Wells, New Mexico Alaska Hawaii

  7. Performance Validation - Ground Truthing Measures performance Ensures the OCR is correctly identifying the most common plate types per region Tunes OCR Algorithm Verifies hardware is functioning properly Ground Truthing Performance Increases Truther/Tstat is a tool that verifies the performance of the LPRs and generate reports

  8. Ground Truthing Reporting Brownsville, TX – Birdnest Trial

  9. Imager Physical Improvements • Ingress Protection (IP) has advanced (IP54 -> IP67) • Older IP54 compliant imagers “breathed air” - dust/water resistant • Today IP67 imagers are sealed – allow pressure-washing for maintenance • Modular internals meaning cameras are easier to service • Installation time reduced by 80% • Smaller footprint • Designed to incorporate future enhancements easily • Benefits to CBP: • Less downtime, fewer lane closures • Less maintenance, quicker installations • Lower costs for setup, operation, and maintenance • Better performance to help keep travelers and commerce moving

  10. Imager Logical Improvements Old Image New Image • Larger image sizes: 0.7 MP -> 5.0 MP. Like standard TV to Ultra High Definition Tim to provide photos • 10X faster processing than current imagers • Color imaging • Improved identification of some plate types/new designs • Color images preferred by some biometric algorithms • OCR algorithms ongoing improvement • Benefits to CBP • Accuracy continues improving: 95% -> 98%+ • CBP officers quickly receive more accurate data • Fewer hand-entered corrections (multiplied across every lane on northern & southern border) • Better scene visibility – higher resolution/wider images

  11. CBP Facial Biometric Identification Pilots

  12. Face Capture for Biometrics • Two systems completed: • Cargo: PARE 2.0 production system, Buffalo and Fort Erie Public Bridge Authority • POV: VFS Trial system, Anzalduas Port of Entry • Integrated with CBP OIT for biometric processing (NEC algorithm) • Tailoring configuration is key for best image capture: • Eyes forward, space around face, avoiding obstructions, contrast with background • Lane angles, vehicle type/heights, camera and lighting selection • Biometric algorithms may prefer different photo characteristics • Considerations: • POV – captured as many faces as possible in the vehicle • Cargo – must capture driver • Monochrome vs color imagers • Multiple angles vs one angle with multiple camera types • Uncooperative drivers, sunglasses, sunshades, glare • Feedback and adjustments greatly improve results: • 2 camera setup - Monochrome & Color on same pole provided best results • NEC algorithm preferred monochrome images • Height and pitch for cargo

  13. Image Quality May Not be Obvious Lowest Quality According to this Algorithm

  14. PARE 2.0 Implementation Passenger Side Imager Makeshift Test LAN Test Sunshade Initial Install / Tuned Camera Initial Install / Tuned Camera

  15. PARE 2.0 Results / Lessons Learned • Monochrome images best for: • NEC Algorithm performance • Contrast with vehicle interior – especially dark skin tones • Best match rates = 2-camera system (mono & color, same side) • On-file reference images required for matching • Must perform tuning with target algorithm and reference images • 85%-92% facial biometric match rates when a reference found

  16. CBSA Secure Corridor Concept

  17. CBSA Secure Corridor Concept Pilot • Pilot Objectives: • Testing the capability of processing commercial traffic remotely. • Expediting the passage of low-risk, trusted shipments at the land border. • Reducing processing times by automating manual processes. • Increasing the number of trucks passing through a port of entry.

  18. CBSA Secure Corridor Pilot Project • CMV enters lane at Zone 1. • Traffic signal notifies driver to stop.

  19. CBSA Secure Corridor Pilot Project • Vehicle is detected by inductive loop which: • Triggers the front color LPR • Energizes front- and side-mounted RFID antennas

  20. CBSA Secure Corridor Pilot Project • Data from windshield mounted RFID Tags are collected by front antennas. • Driver presents RFID travel documents to be read. • Traffic signal momentarily changes to green to release driver, then back to red to stop next vehicle in lane.

  21. CBSA Secure Corridor Pilot Project • CMV proceeds to next traffic signal just passed unmanned inspection booth. • If documents were successful in Zone 1, truck will proceed to exit. • If information is incomplete, traffic light stops CMV and documents are reread. • Driver can communicate via intercom in the lane with CBSA personnel.

  22. Training room Walkthrough, Facility TourDemo Systems in test area • Improvements from G5-G7 • Why G5 requires training – on-site calibration G7 point/click • Weathered G5 – showing why we went to IP67 • Metrics maintained today, where improvements can take us • G5 system functioning. Demo flash types (white, I/R, filtered)

  23. CBP Lane of the Future

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