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Presented to: US Customs and Border Protection August 2015

SAT Aduanas Commercial Vehicle & Port Project License Plate Reader & Container Code Reader – Proof of Concept. Presented to: US Customs and Border Protection August 2015. SAT Commercial Vehicle & Port POC License Plate Reader & Container Coder Reader.

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Presented to: US Customs and Border Protection August 2015

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  1. SAT Aduanas Commercial Vehicle & Port Project License Plate Reader & Container Code Reader – Proof of Concept Presented to: US Customs and Border Protection August 2015

  2. SAT Commercial Vehicle & Port POC License Plate Reader & Container Coder Reader

  3. Nuevo Laredo, Mexico - POC Commercial Vehicles • A front and rear LPR-HR system, a Driver Imaging system and a Scene Camera were installed on 11/15/2013 • The equipment was demonstrated for over 30 days at the Nuevo Laredo, Tamaulipas Commercial Cargo Port of Entry in lane number 4

  4. LPR-HR was Utilized for this POC • The LPR-HR is a high resolution, high performance License Plate Reader with a wide Field of View (FOV) of 15ft • LPR-HR is installed at some US CBP outbound lanes and commercial vehicle applications • Retro-reflective/non-retro-reflective • Stacked and half-size characters • State/Provincial & Country ID • Multiple plates per vehicle • 24/7, any weather condition • -40°C to +70°C

  5. Typical LPR-HR Performance • 95% ENTIRE license plate read accuracy • Vehicle detection is independent of condition of license plate • (99% vehicle detection accuracy) • 98% State/Provincial & Country ID • >99% character identification • Images have high contrast and no motion blur

  6. What the LPR Reports • For each vehicle passage, the following information is provided via a TCP/IP Socket connection: • Unique transaction ID • Date and Time of Transaction • License Plate (WJ47571) • State ID (TA - Tamaulipas) • Confidence Factor • LPR Image • Patch Image (one per result)

  7. Vehicle Inspection Software Time Stamp Image Display LPR Result Current Transaction

  8. Vehicle Inspection Software Time Stamp Image Display LPR Result Current Transaction

  9. Sample Image Data Collected Scene Driver Rear Front

  10. Front License Plate MM 734ST9

  11. Rear License Plate IN P235681

  12. Color Overview Image

  13. High Contrast Driver Image

  14. Sample Image Data Collected Scene Driver Front Rear

  15. Front License Plate NL RH54969

  16. Rear License Plate NL RH54969

  17. Color Overview + Driver Image

  18. Sample Driver Images

  19. Sample Trailer Plates

  20. Sample Tractor Plates

  21. Damaged and Obstructed Plates 16% of tractor plates captured were damaged

  22. Examples of Trucks with no Plates

  23. Summary of Results • Over 2,500 Commercial Vehicle transactions were captured and processed • The data was then Ground-Truthed and analyzed • LPR was able to correctly identify 96% of Tractors and 82% of Trailers with readable plates

  24. Front (Tractor) Results ---------- Readable Traffic ---------- Statistics for all readable traffic: 95.82% (2016 of 2104 plates) read correctly in 7 states. State State Chars Raw Number Raw Name Accuracy Accuracy Accuracy Plates Dist. MM 98.69% 96.18% 96.18% 1990 94.58% TA 93.02% 91.86% 91.86% 86 4.09% TX 89.47% 89.47% 89.47% 19 0.90% NL 100.00% 100.00% 100.00% 4 0.19% CU 66.67% 66.67% 66.67% 3 0.14% DF 0.00% 100.00% 0.00% 1 0.05% XX 0.00% 0.00% 0.00% 1 0.05% Totals: 98.24% 95.87% 95.82% 2104 100.00% 99.6% of tractors are Mexican Trucks (MM), from Tamaulipas (TA), or from Texas (TX) Report for Nuevo Laredo SAT Comm Demo (Tractor) Dates: 2013/12/12 17:54:48 – 2013/12/20 18:18:05 ------------- All Traffic ------------- Vehicles % of Total ----------------------- All Traffic: 2545 100.00 % Readable: 2104 82.67 % Unreadable: 441 17.33 % Damaged: 418 16.42 % No Plate: 16 0.63 % Obstructed: 7 0.28 %

  25. Rear (Trailer) Results ---------- Readable Traffic ---------- Statistics for all readable traffic: 82.40% (1400 of 1699 plates) read correctly in 30 states. State State Chars Raw Number Raw Name Accuracy Accuracy Accuracy Plates Dist. MM 77.23% 72.00% 72.00% 325 19.13% OK 79.73% 75.95% 75.26% 291 17.13% ME 86.88% 85.46% 84.40% 282 16.60% TX 90.21% 86.08% 86.08% 194 11.42% IN 97.95% 97.95% 97.26% 146 8.59% TN 88.00% 93.60% 88.00% 125 7.36% MO 93.33% 90.67% 90.67% 75 4.41% TA 95.65% 94.20% 94.20% 69 4.06% IL 91.23% 89.47% 89.47% 57 3.35% NE 97.87% 97.87% 97.87% 47 2.77% CA 88.24% 88.24% 88.24% 17 1.00% ON 87.50% 93.75% 87.50% 16 0.94% MI 92.31% 92.31% 92.31% 13 0.77% WI 0.00% 85.71% 0.00% 7 0.41% SC 60.00% 60.00% 60.00% 5 0.29% NL 60.00% 60.00% 60.00% 5 0.29% CU 100.00% 100.00% 100.00% 3 0.18% OR 33.33% 33.33% 33.33% 3 0.18% IA 100.00% 100.00% 100.00% 3 0.18% GA 100.00% 100.00% 100.00% 2 0.12% MS 100.00% 100.00% 100.00% 2 0.12% AL 0.00% 50.00% 0.00% 2 0.12% NJ 0.00% 100.00% 0.00% 2 0.12% FL 100.00% 100.00% 100.00% 2 0.12% MB 0.00% 100.00% 0.00% 1 0.06% DF 0.00% 0.00% 0.00% 1 0.06% KY 0.00% 100.00% 0.00% 1 0.06% QU 0.00% 100.00% 0.00% 1 0.06% MX 0.00% 0.00% 0.00% 1 0.06% PA 0.00% 0.00% 0.00% 1 0.06% Totals: 85.34% 83.93% 82.40% 1699 100.00% A significant percentage of rear plates were damaged or obstructed Trailers from 30 different states were captured Report for Nuevo Laredo SAT Comm Demo (Trailer) Dates: 2013/12/12 17:54:48 – 2013/12/20 18:18:05 ------------- All Traffic ------------- Vehicles % of Total ----------------------- All Traffic: 2545 100.00 % Readable: 1699 66.76 % Unreadable: 846 33.24 % Damaged: 303 11.91 % No Plate: 199 7.82 % Obstructed: 336 13.20 % Out of Field: 8 0.31 %

  26. Container Code Reader (CCR) Border Proof of Concept - 2014

  27. Manzanillo CCR Demo • A rear and side CCR system were installed at Zona Nortein Manzanillo on March 26, 2014 to capture Container Identification information from Commercial Vehicles

  28. CCR Product Utilized • High Performance OCR • High accuracy • Omni-font, rotation & scale tolerant • Fully automated, 24/7 operation • Real-time performance • Environmentally controlled enclosures • Robust, field-proven technology

  29. CCR Product Features • Can process any combination of containers (20’, 40’, 45’, 48’, 2-20’, etc.) independent of length • Quality of image is independent of the vehicle speed • Maximum speed through the gate CCR system is 45 MPH • Network interface protocol allows for easy integration • System operates 24 hrs/day, 7 days/week • Image quality is consistent throughout day and night with low power, white light stroboscopic illuminator • Environmentally controlled enclosures ensure performance under any weather condition • Optional stainless steel lane controller enclosure for salt water installations

  30. ISO 6346 Container Code Standard • Owner Code: The owner code consists of three capital letters of the Latin alphabet to indicate the owner or principal operator of the container. Such code needs to be registered at the Bureau International des Conteneurs in Paris to ensure uniqueness worldwide. • Equipment Category Identifier: The equipment category identifier consists of one of the following Four capital letters of the Latin alphabet: • U for all freight containers • J for detachable freight container-related equipment • Z for trailers and chassis • R for reefer containers (cooling containers, mostly with their own refrigeration system) • Serial Number:The serial number consists of 6 numeric digits, assigned by the owner or operator, uniquely identifying the container within that owner/operator's fleet. • Check Digit: The check digit consists of one numeric digit providing a means of validating the recording and transmission accuracies of the owner code and serial number.

  31. ISO Container Types

  32. CCR Application Areas • ISO Container Identification • Chassis Number Identification • Vehicle Identification • Asset Management • Verifies and reports ISO check digit – imaged & calculated by system • Reads horizontal & vertical ISO codes

  33. Data Collection: ISO 6346 Container Code Standard

  34. CCR - XF Demo Installation

  35. CCR - XF Demo Installation

  36. Sample Images from Manzanillo

  37. Sample Images from Manzanillo

  38. Single Side & Back CCR System Minimal Configuration Dual Containers on chassis blocks rear door imaging Cameras and illuminators are mounted at a height of 12’ (3.7m)

  39. Two Sides & Back CCR System Container Thru-Beam sensors at an 8” x 10” height Cameras and illuminators are mounted at a height of 12’ (3.7m)

  40. side side side back back back Concept of Operations Designed for speeds up to 45 mph R1 R1 R1 R0 R0 R0 1. Container is detected 2. Side is imaged and identified 3. Back is imaged and identified 4. Resulting ISO code is transmitted A chassis with two 20’ containers is imaged twice on the side and once on the rear

  41. CCR System Performance • One side / rear systemautomatically locates and identifies the 4-character owner code, 6-digit container number and check digit on at least 95% of all containers with one undamaged, unobstructed, and unobscured ISO 6346 code in its field of view. • Two side / rear system configuration improves read rate accuracy. • Optional country code and type code identification may reduce read rate to 90% of containers. • Both retro and non-retro reflective ISO codes. • Partial results from side and back images are combined for a more accurate result. • System confidence factor is computed for every read result. • Electronic manifest list can improve OCR accuracy. • Read result in less than 1 second after last image is captured.

  42. CCR Discriminators • Can combine with LPR at control gates • Reading accuracy >95% (owner code + ISO number + check digit) • Real-time processing speed (<1s per image) • Imaging is independent of truck speed and container length • Integrates with LPR, Driver & Scene Camera

  43. CCR POC Results • Equipment was installed on 03/26/14 • A data sample collected between 03/28/14 and 03/31/14 • The data sample was then Ground-Truthed and analyzed • A total of 1,452 containers were processed during the demo (including 332 dual containers) • The CCR system correctly identified the owner code, container number and check digit on 94% of the container images sampled

  44. Container Code Reader Results ---------- Readable Traffic ---------- Statistics for all readable traffic: 93.78% (226 of 241 containers) read correctly in 47 owners. Owner Owner Serial Raw Number Raw Name Accuracy Accuracy Accuracy Containers Dist. MSKU 96.97% 93.94% 93.94% 33 13.69% MRKU 86.67% 80.00% 80.00% 15 6.22% PONU 100.00% 100.00% 100.00% 15 6.22% TGHU 100.00% 100.00% 100.00% 14 5.81% GESU 100.00% 100.00% 100.00% 14 5.81% MSCU 100.00% 100.00% 100.00% 13 5.39% FSCU 91.67% 100.00% 91.67% 12 4.98% CLHU 100.00% 100.00% 100.00% 12 4.98% INKU 66.67% 66.67% 66.67% 9 3.73% MEDU 77.78% 77.78% 77.78% 9 3.73% CAIU 100.00% 100.00% 100.00% 8 3.32% CMAU 100.00% 100.00% 100.00% 8 3.32% GLDU 100.00% 100.00% 100.00% 8 3.32% FCIU 85.71% 100.00% 85.71% 7 2.90% CAXU 100.00% 85.71% 85.71% 7 2.90% TCLU 100.00% 100.00% 100.00% 6 2.49% ECMU 100.00% 100.00% 100.00% 6 2.49% DFSU 100.00% 100.00% 100.00% 5 2.07% DRYU 100.00% 100.00% 100.00% 3 1.24% GVCU 100.00% 100.00% 100.00% 3 1.24% IPXU 100.00% 100.00% 100.00% 3 1.24% GATU 100.00% 66.67% 66.67% 3 1.24% BSIU 50.00% 50.00% 50.00% 2 0.83% TEXU 100.00% 100.00% 100.00% 2 0.83% INBU 100.00% 100.00% 100.00% 2 0.83% BMOU 100.00% 100.00% 100.00% 1 0.41% CSVU 100.00% 100.00% 100.00% 1 0.41% CRLU 100.00% 100.00% 100.00% 1 0.41% HLXU 100.00% 100.00% 100.00% 1 0.41% MAEU 100.00% 100.00% 100.00% 1 0.41% WFHU 100.00% 100.00% 100.00% 1 0.41% Other 100.00% 100.00% 100.00% 16 6.64%  Totals: 95.44% 94.61% 93.78% 241 100.00% Containers from 47 different owners were captured. Report for MM SAT CCR DEMO Dates: 2014/03/28 13:28:11 - 2014/03/31 21:14:22 ------------- All Traffic ------------- Containers % of Total ----------------------- All Traffic: 278 100.00 % Readable: 241 86.69 % Unreadable: 37 13.31 % Car: 2 0.72 % Damaged: 25 8.99 % No Container: 9 3.24 % Obstructed: 1 0.36 %

  45. SAT Commercial Port License Plate Reader & Container Code Reader – Mexico POC Thank You

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