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License Plate Recognition License Plate Recognition License Plate - PowerPoint PPT Presentation

License Plate Recognition License Plate Recognition License Plate Recognition License Plate Recognition (LPR), Car Colour & Facial (LPR), Car Colour & Facial (LPR), Car Colour & Facial (LPR), Car Colour & Facial Capture / ID


  1. License Plate Recognition License Plate Recognition License Plate Recognition License Plate Recognition (LPR), Car Colour & Facial (LPR), Car Colour & Facial (LPR), Car Colour & Facial (LPR), Car Colour & Facial Capture / ID or Verification, Capture / ID or Verification, Capture / ID or Verification, Capture / ID or Verification, possibly linked to Access Cards possibly linked to Access Cards possibly linked to Access Cards possibly linked to Access Cards In conjunction with Barry T. Dudley Slide 1

  2. Why I-CUBE? • Sells service and not product • Offers high-recognition rates and accuracy and can be integrated into existing or new applications. • Speed & accuracy • Flexibility • Integration Slide 2

  3. What are I-CUBE capabilities? License Plate Recognition up to 300 KM per hour • LPR accurately verified to vehicle colour, shape and • other identifying visual characteristics LPR linked to driver facial ID • Full-featured digital video recorder, so a visual • record is created for every vehicle passing the camera, allowing searching by license plate, vehicle types, makes or colours across time period Slide 3

  4. L icense P late R ecognition L icense P late R ecognition Slide 4

  5. Wide range of applications… Secure Access Control Vehicle logging; Roadblocks Linking vehicles to DATA (wt, size, colour, time, etc.) IN SOUTH AFRICA: Over 1 0 0 0 Access Control – 11 in SA sites Toll Road – 1 w orldw ide Violation Film processing – 30 Slide 5

  6. LPR - 5 easy steps: 1 - Capture 2 – Find plate 3 – OCR 4 – Open gate if allowed, 5 – Report ALARM if BANNED Slide 6

  7. Licence Plate Recognition is a non-intrusive, • computerised method of matching a Vehicle Licence Plate to a database of registration numbers. • System includes cam era/ illum ination units, hardw are and softw are ( application + recognition library) • Autom atically reads License Plate num ber • Displays, records and transm its vehicle im age and recognition results • Can com pare plate num ber to data base - and optionally open gate or activate alarm Slide 7

  8. Frame Grabber Camera/Illumination PC Station Units (Up to 4 per system) Included Hardware I/O Card +Terminal Block Power Supply for SCH LPR Software Slide 8

  9. Slide 9

  10. GATE : 1 lane IN; 1 lane OUT GATE : 1 lane IN; 1 lane OUT OUT OUT IN IN Slide 10

  11. Frame Grabber PC Station IR & CCTV cameras LPR Software Existing CCTV cameras linked to Existing CCTV cameras DVR system DVR HW Software Allowed Database LIST WANTED LIST Slide 11

  12. F a cial R R ecognition S ystem F ecognition S acial ystem Slide 12

  13. 2D systems typically used for identification comparing an image captured with static images. Facial Recognition Facial Recognition Security personnel finds a match 2D vs 3D 3D systems typically used for verification of people or for identifying with minimal on no personnel involvement Slide 13

  14. Deploying HNET 3D technology to verify people enrolled in the system Facial Recognition Facial Recognition 3D System Slide 14

  15. FRS Network (multiple clients, one server): - Facial Recognition Facial Recognition 3D System – How does this get connected? Slide 15

  16. Speed, accuracy and intelligence are among the key qualities Facial Recognition Facial Recognition 3D System – What are the benefits? Slide 16

  17. Using a revolutionary core technology HNet, based on neural networks, I-CUBE facial recognition delivers cutting-edge security and Facial Recognition split-second processing times. Facial Recognition 3D System – Speed Slide 17

  18. The proposed FRS was the most accurate technology tested in the International Facial Recognition Facial Recognition Biometric Group’s Comparative Testing for IT Security and E-Commerce 3D System – Accuracy Slide 18

  19. The proposed FRS learns, remembers and recognises, Facial Recognition Facial Recognition becoming more familiar with your face each time it sees you, adjusting 3D System – for difference due to aging and Intelligence cosmetics. Fred Bloggs Slide 19

  20. Requirement: Vehicle Logging Requirement: Vehicle Logging The requirement is to provide Licence The requirement is to provide Licence Plate Recognition (LPR) technology, Plate Recognition (LPR) technology, possibly linked to car colour, driver possibly linked to car colour, driver Facial Capture / ID / Verification to Facial Capture / ID / Verification to facilitate secure ACCESS CONTROL. facilitate secure ACCESS CONTROL. The car and driver are linked by the The car and driver are linked by the facial biometric to an access card (if facial biometric to an access card (if present) and vehicle (colour, shape present) and vehicle (colour, shape and license plate) on enter & exit. and license plate) on enter & exit. Slide 20

  21. PROCEDURE: • LPR occurs as vehicle approachs boom, • Then driver swipes access card, • Facial Capture / ID or Verification then occurs, • Image capture of vehicle colour occurs, • If all captured information matches the database, boom opens. • If ANY information does not agree, guard called. • LPR of vehicle plate front and back; Slide 21

  22. LPR Installation for entry / exit monitoring Vehicle approaches entry Slide 22

  23. Entry Vehicle approaches entry Card reader Slide 23

  24. LPR occurs first while vehicle moving / Camera Recognize plate Illumination unit number and compare to data base Card LPR reader Vehicle Sensor PC Station MKF 359 GP Slide 24

  25. Vehicle approaches card reader stand Recognition Rate: 0.5 sec Slide 25

  26. Person presents card to card reader Picture of driver is captured, possibly compared to database of allowed drivers FACIAL Recognition Rate: 0.1 sec Compared Slide 26

  27. Person presents card to card reader Vehicle colour captured, possibly compared to database Car Colour Recognition Rate: 0.2 sec Slide 27

  28. If Card, License Plate, Facial and Car Colour match entry in database, boom opens, IF NOT, guard called to investigate Total time required for an authorized driver, with the correct car (colour & license plate) and access card: 7 seconds Slide 28

  29. Matching Criteria Captured Result Result Criteria License Plate Recognition NP132785 Allow ed Card 123456789 123456789 Allow ed Facial Capture 0987654321 Allow ed Car Colour White Allow ed OVERALL – After hours, T&A Office Hrs hence not allowed! ONLY Slide 29

  30. LPR Front End Slide 30

  31. FRS Front End Slide 31

  32. FRS LOG Slide 32

  33. LPR LOG LOG FOR A SINGLE EVENT Added,1,NP192785,100,100,100,100,100,100,100,100,100 Added,2,NP132785,100,100,100,100,100,100,100,100,100 LICENSE PLATE, LANE, USER, DATE Added,4,NP12785,91,100,100,75,100,100,100,100 Best,2 HFP848GP,..........,1,Yes,Rachel Tim,Sat Aug 14 09:05:16 2004, Result,NP132785 KBW141GP,..........,2,No,,Sat Aug 14 09:05:18 2004, Added,1,NP132785,95,100,100,100,100,100,100,100,100 Added,2,NP132785,100,100,100,100,100,100,100,100,100 MKF359GP,..........,1,Yes,David Smith,Sat Aug 14 09:05:20 2004, Added,3,NP132785,100,100,100,100,100,100,100,100,100 Added,4,NP12785,96,100,100,75,100,100,100,100 LJD977GP,..........,3,No,,Sat Aug 14 09:05:22 2004, Best,3 Deleted,4 ND474276,..........,2,Yes,Daniel Bush,Sat Aug 14 09:05:24 2004, Result,NP132785 DYK370GP,..........,3,No,,Sat Aug 14 09:05:30 2004, Added,1,NU44667,99,100,100,100,100,100,100,100 Added,2,NU44667,99,100,100,100,100,100,100,100 LGW487GP,..........,1,Yes,Goldy Luck,Sat Aug 14 09:05:36 2004, Added,3,NU44667,99,100,100,100,100,100,100,100 Added,4,NU44667,99,100,100,100,100,100,100,100 KPR835GP,..........,3,No,,Sat Aug 14 09:05:38 2004, Added,5,NU44667,99,100,100,100,100,100,100,100 Added,6,NU446M7,75,100,100,100,100,30,40,100 Best,3 Deleted,6 All images are kept Result,NU44667 Slide 33

  34. Land Rover 4X4 LOG - LPR Slide 34

  35. VW Jetta LOG Slide 35

  36. Solution Proposed This solution allows: - Solution Proposed • Multiple image capture by high resolution LPR camera’s; • License plate finding within the image; • License plate number reading at a high accuracy (with multiple cameras used in stereo); • Multiple image capture by high resolution cameras of the driver and vehicle colour; • Linking of license plate number and Facial ID or verification of driver with an Access Card, so that both card, face, car colour and license plate have to match in order for boom to open. • Log of number, date, time, lane & image of all vehicles enter/exit the facility; • Audio Alarm if a wanted / prohibited vehicle detected • Recording vehicle load and overall view as an option . Slide 36

  37. In conclusion … Message from Message From David Hathorn, CEO Of The Mondi Group “ Looking forward, I believe that innovation will play a key role in the ongoing development of the group. Mondi invests heavily both in excellent people and processes to ensure that it constantly improves its value offering, exceeding both customer and shareholder expectations. ….” Slide 37

  38. Questions Slide 38

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