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Products and Services for Electronic Toll Collection March 6, 2019

Products and Services for Electronic Toll Collection March 6, 2019. Perceptics Overview. Corporate Information Founded in 1979 Corporate Headquarters in Farragut, Tennessee (Knoxville) Approximately 60 employees with an average of 12 years at Perceptics Key Markets

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Products and Services for Electronic Toll Collection March 6, 2019

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  1. Products and Services for Electronic Toll Collection March 6, 2019

  2. Perceptics Overview Corporate Information Founded in 1979 Corporate Headquarters in Farragut, Tennessee (Knoxville) Approximately 60 employees with an average of 12 years at Perceptics Key Markets Electronic Toll Collection Border Control & Security Intelligent Transportation Systems Commercial Vehicle Enforcement

  3. U.S. Installations of Perceptics Equipment Perceptics automates over 200 million license plate reads each year at over 1,000 installations in the United States, Canada, and Mexico Alaska Hawaii

  4. Products & Services Perceptics systems help you gather more data about your customers License Plate Recognition Systems (LPR) USDOT Number Readers (DOT) Vehicle Occupancy Imaging System (VOIS) Unique Vehicle Identification Software Module (UVID) OCR Engine (Cloud or On-Premise) Central Management Console System (CMC) Origin and Destination Studies (O&D) Image Optimization Studies

  5. Utilizing Data Imaging Data • License Plate Recognition • USDOT Number Recognition • Vehicle Feature Identification • Vehicle Occupancy Imaging • Vehicle Detection • Location and Timestamp Traffic Analysis • Congestion Patterns • Origin & Destination • Tolling Feasibility • Traffic Volume • Peak Travel Hours • Customer Travel Patterns • Commercial Carrier Specific Information • Trip Purpose • Commuter, Rideshare, Weekender, Freight-haul, etc.

  6. Interpreting Data LPR Unique Vehicle ID Module Integrated Data Package VOIS Travel Patterns USDOT • Unique Vehicle Profile

  7. Unique Vehicle Signature Passage Signature Matched against UVID database to find closest Vehicle Signature

  8. Interpreting Data LPR Unique Vehicle ID Module Integrated Data Package VOIS Travel Patterns USDOT • Unique Vehicle Profile

  9. “Frying Pan Man” • Frying Pan Man drives a truck with the words “Silverado” and “Chevrolet” • His truck has a trailer hitch and two tailpipes • He gets on the turnpike at point A every weekday morning between 7 and 730am and gets off at point B • He gets back on at point B between 530 and 6pm and gets off at point A • Always one person in the car • He usually drives in the fast lane This picture has been lightened to see details

  10. Data from Unique Vehicle Profiles KPI for Customers Exiting at Plaza 12 (Rank) Customer Travel Patterns Customer Origin Customer Payment Method Tag Cash * Identifying info has been changed Unique Customers = 27,974

  11. Data from Unique Vehicle Profiles Peak Travel Hours Customer Travel Patterns Entry Behavior Plaza 12 Each ring represents 5% Exit Behavior Plaza 12

  12. Case Study: Origin and Destination Study • Goals: • Determine origination of vehicles • Expected performance from an LPR system • Process: • Installed a front and rear camera on each of two lanes • Integrated with existing vehicle triggers • Temporarily mounted on weighted platforms • Collected images 24/7 for three months • Results: • 2 million plates from 58 origins • 81.05% of the total images carried an accuracy of 99.23% • In operation, this means over 80% of the images can be automatically processed

  13. Case Study: Image Optimization • Goals: • Improve performance of current system without changes in equipment or infrastructure • Automate more reads, reducing costs of manual review • Process: • Customer sent 7,000 images from 40 cameras installed at 14 lanes • Images were run through Perceptics OCR engine to determine performance baseline • Perceptics’ Image Quality Assessment tool automatically computed a scorecard and Perceptics engineers studied images to verify scorecard and identify anomalies • Recommended adjustments per lane and per camera were reported • Second round of images sent to Perceptics to measure effectiveness of suggested camera modifications • Results: • 27 of 40 cameras needed adjustments • Could expect as much as a 27% increase in accuracy if cameras were tuned properly

  14. Image Optimization Scorecard

  15. Common Image Quality Problems Overexposure or underexposure Incorrect Camera Angle Character Height Poor Image Resolution Improper Trigger Timing Out of Focus

  16. Image Quality Matters In a recent study with a large U.S. tolling authority, Perceptics LPRs captured and processed 85.84% of vehicles with 99.98% accuracy rate, well above spec, saving approximately $170m in operating costs over 10 years. Requires manual review Not readable by OCR or human No manual review required Automated result

  17. Products & Services Perceptics systems help you gather more data about your customers License Plate Recognition Systems (LPR) USDOT Number Readers (DOT) Vehicle Occupancy Imaging System (VOIS) Unique Vehicle Identification Software Module (UVID) OCR Engine (Cloud or On-Premise) Central Management Console System (CMC) Origin and Destination Studies (O&D) Image Optimization Studies

  18. Questions?Casey Self, APRDirector of Marketing865.671.9257casey.self@perceptics.com This document is intended for the internal use of recipients only.  It contains Proprietary and Confidential Information of Perceptics, LLC and shall not be used, disclosed or reproduced, in whole or in part, for any purpose, without express written permission of Perceptics, LLC.

  19. Products and Services

  20. Smart G7x License Plate Reader • 5MP imager capturing the highest quality images for maximum OCR automation • Confidence values reported per character and plate • 100% image capture—locates passenger and commercial plate data across a 15’ field of view • Reads motorcycle plates, temporary/paper plates, and multiple plates per vehicle • Convenient web interface for remote status and configuration • Flexible design for seamless integration with current infrastructure and tolling systems

  21. Verifying Lane Geometry Lane Characteristics • Gantry Height (Z) • Lane Width (L) • Sensor Location (Y) Configurator Outputs • Geometry Verification • Imager Lens Selection

  22. Smart G7 DOT for Commercial Vehicle Enforcement • Systems designed for high-speed mainline and low-speed ramp applications • 5MP imager capturing high resolution images of USDOT numbers, KYU, Motor Carrier and VIN numbers for maximum OCR automation. • Integrates with weigh-in-motion (WIM) technology • Confidence values are reported per character and per plate for exceptional reliability • Flexible design for seamless integration with current infrastructure and tolling systems • Convenient web interface for remote status and configuration

  23. Smart LPR & DOT System Architecture Processing Equipment Authority Network Lane3 Lane2 Lane1 LPR Cameras Load Balancer Optional Storage OCR Server Central Management Console Image Capture Equipment Virtual OCR Engines

  24. Unique Vehicle Identification Module (UVID) • A powerful OCR-enhancement that provides an additional means of identifying vehicles • Creates a custom signature for each vehicle traveling on the roadway based on unique vehicle attributes • Ability to identify a vehicle and associate it with the correct license plate, even when portions of the plate are missing or obscured • Assists in Trip Matching and Trip Building • Maximizes automation rates and decreases manual review

  25. Smart Vehicle Occupancy Imaging System (VOIS) • Side-mounted systems designed for high-speed mainline applications • 5MP imager capturing high resolution images of front passengers • Capable of observing driver behavior, cell phone usage, or seat belt enforcement • Penetrates tinted windows • Flexible design for seamless integration with current tolling systems • Convenient web interface for remote status and configuration

  26. OCR Engine Options • In-Camera Processing • 1 lane of traffic • Up to 2,400 images/hour • Real-time • Compatible with hot lists • Best if connectivity to network is limited • Back Office Processing • Six OCR engines per server • Up to 8M images/month • Camera agnostic • Redundant power supplies for high availability • Designed for fault tolerance • Easily expanded • Plaza Processing • Multiple lanes of traffic • Camera agnostic • Real-time • High bandwidth • Compatible with hot lists • Best for on-ramp/off-ramp applications • Cloud Processing • Auto-scalable • Modest Latency • Automatic configuration updates • Advanced processing algorithms for higher accuracy • Best with high-bandwidth connection or if already processing in the Cloud

  27. Auto-Scalable OCR Cloud Architecture Tolling Authority Network Camera 3 Camera 2 Camera 1 LAN Room Equipment Smart Cameras Elastic Load Balancer Smart Illuminators Perceptics Cloud OCR Server Central Management Console Roadside Equipment PLAN - VLAN CLAN - VLAN

  28. Central Management Console • Provides a dashboard that monitors the health status of every lane connected to the network and gives real-time information on each device within the lanes • Remotely deploys software, configurations, and firmware updates to all authorized devices • Can be integrated with existing dashboards • Monitor performance trends and can predict equipment failures before they are likely to occur

  29. Health Monitoring & Maintenance

  30. Monitoring and Preventive Maintenance • Smart Imager and Smart Illuminator Functionality • Supports real-time status monitoring of key aspects of these vital components • Temperature measure indicates normal operation or possible failure of internal fans • Humidity sensors indicate possible failure of ingress protection seals • Ambient light sensor in imager automatically adjusts gain/illuminator intensity • Programmable light output control in illuminator can compensate for aging bulbs • A programmable lens in the imager verifies the lens settings • Trending of product lifecycle available to support scheduled maintenance activities and reduce non-scheduled downtime 2. Central Management Console (CMC) Software • Allows for constant real-time monitoring of the system health and status • Supports proactive maintenance activities via gathered statistics • Supports quick diagnostics to restore failed system to operation • Automatically pushes new software parameter updates and security patches to imagers and OCR servers • Automatically pushes software and parameters to replaced components (Auto-Config)

  31. Operation and Maintenance of Lane Equipment • Ease of install • Single sensor head easily aligned during installation • No maintenance required to remove snow, ice, or water from system sensors • No requirement to maintain in-road loop wires • Radar sensor able to track vehicle conveyance • Status monitoring of all active components allows for quick troubleshooting • System maintainable by trained field technicians • MTTR of imager or illuminator components is less than 15 minutes

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