Mr. Thomas Yoon
+82-10-5380-0313
Summary of the solution
e-con Systems® developed a complete Edge AI-based License Plate Recognition (LPR) solution for fixed and mobile traffic enforcement applications. The solution integrates dual global shutter cameras, IR illumination, edge AI processing, radar-based speed detection, and optimized ALPR software within a rugged enclosure.
Designed for continuous roadside operation, the system enables high-accuracy license plate capture and vehicle analytics at the edge, supporting both day and night enforcement scenarios with minimal infrastructure dependency.
Key challenges faced by the client
Accurate capture
of fast-moving vehicles
Day and night
imaging performance
Low-power roadside
deployment
Edge AI integration
and processing
Benefits of the solution
- Delivered a complete Original Design and Manufacturing (ODM) solution, significantly reducing system integration effort and validation
- Achieved over 98% license plate capture and recognition accuracy in live traffic conditions.
- Improved enforcement effectiveness, reducing false positives by 10–20%.
- Integrated privacy protection features, including face anonymization and object masking.
- Supported required U.S. certifications, accelerating time to market and enabling readiness for large-scale deployments.
Related Blogs
How ALPR Cameras Empower Violation Ticketing Systems to Help Law Enforcement Agencies
Urban traffic enforcement faces scale pressure as vehicle density rises and manual monitoring struggles to keep pace.
Know More
What Vision Systems Can Do To Protect Pedestrians at Crosswalks
Urban intersections have become complex, unpredictable zones where vehicles, cyclists, and pedestrians intersect within seconds.
Know More
What AI Vision Brings: Traditional vs. Modern Traffic Enforcement
Modern traffic enforcement relies on vision-led systems that interpret full road scenes in real time. Traditional inductive loops used to focus on vehicle presence, which limited insight into movement
Know More
How to Ensure Wrong-Way Driving Detection With AI Vision Cameras
Wrong-way driving remains one of the highest-risk events on highways and ramps, driven by impaired driving, poor visibility, and entry confusion.
Know More
Proactive Road Safety: Detecting Near-Miss Incidents with AI Vision
Road networks are under pressure as traffic grows and junctions stretch human awareness. Near-miss analytics step in with real-time insight, turning close calls into measurable indicators of where risk concentrates.
Know More
Employee Login
