riteVision™

riteVision^™ is our cloud-based, Software-as-a-Service (SaaS) vehicle recognition system that uses machine learning algorithms to replace traditional Optical Character Recognition (OCR) based systems.

Throughout the North American toll industry, OCR provides low auto-pass rates, resulting in higher costs to manually review and process large volumes of vehicle/license plate images. riteVision^™ replaces OCR with a neural-based network that delivers greater accuracy and efficiencies in operation.

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BENEFITS

Key benefits, specifically tailored for the transportation industry, include the following:

99.95% accuracy rates; greater accuracy than OCR
50% less manual review times, resulting in total reduced cost
Increases in availability, response, and accuracy performance standards
18% increase in auto-pass
High availability and scalability
Continuous tuning from self-learning
Easy integration
No upfront costs
Low fixed price per image set

CENTERED AROUND MACHINE LEARNING ALGORITHMS

riteVision^™ is the image review of the future.

TOTAL REDUCED COST
- 50% less manual review
ELIMINATES CUSTOM CODING
- Stacked characters, temporary plates
PERFORMANCE STANDARD
- Availability, response, and accuracy
EASY INTEGRATION
- Existing system or stand-alone
HIGHER THROUGHPUT
- 18% increased auto-pass
HIGH AVAILABILITY
- Highly scalable
- 24/7/365
CONTINUOUS TUNING
- Self learning with quarterly tuning
NO UPFRONT COST
- Zero deployment cost
FIXED PRICE
- Easy budgeting and reconciliation

GREATER ACCURACY AND AUTOMATION

riteVision^™ can reduce manual review by 50%.

18% HIGHER THROUGHPUT
- These numbers are functional, meaning they are without exceptions for human-readable, fuzzy, or obstructed plates
MACHINE LEARNING SYSTEM PROVIDES
OTHER CLASSIFICATIONS
- Examples include motorcycle, emergency vehicle, and obstructed plates