Fixed license plate and vehicle recognition (ALPR)
Engineered for public safety missions and traffic speeds up to 120 mph, the Rekor Edge Max™ system for ALPR is deployed on the roadside of bidirectional primary roads and highways. It captures and processes license plate and vehicle data on-device within a durable enclosure and automatically sends recognition data to the Rekor Scout® software platform.
Recognize vehicles at long distances and across lanes
Rekor Edge Max is built using best-in-class hardware and packaged with our incredibly easy-to-use Rekor Scout software. The systems are able to capture license plates and vehicles that other companies miss. All processing is performed on the unit itself, meaning users are provided with alerts exactly when they need them — in real-time!
Unlock powerful performance
Up to 6 lanes of coverage
300 ft max capture distance
120 mph capture speed
1080p resolution camera(s)
On-device video processing
Optimized infrared illumination for nighttime performance
State-of-the-art recognition
Advanced vehicle recognition with plate, make, type, color, and direction of travel
Accurate in day/night and all weather conditions
Read paper, temporary, and vanity plates
Real-time alerting on vehicles of interest
Operate in nearly all conditions
Outdoor rated, IP65 enclosure
4G LTE, Wi-Fi, Ethernet, and GPS connectivity
Operates on direct AC or solar power with continuous runtime
Permanent design for long-term safety initiatives
Incredible license plate recognition accuracy
How does the system work with live video of traffic?
Each Rekor Edge Max system contains an embedded Edge Processing Unit (EPU) that processes multiple streams of high-resolution video at once. Installed directly on the roadside, it delivers low-power computing in a compact unit, allowing us to accurately analyze license plates and vehicles from full-frame video without performing expensive processing in the cloud.
What happens after the video is processed?
After processing the raw video using our EPU, small bits of metadata containing actionable information are sent to the cloud via a low-bandwidth cellular connection. The data can then be easily accessed in Rekor Scout’s web-based dashboards.
Access and search all vehicle attributes
Built using advanced artificial intelligence with 6+ years of machine learning, Rekor Scout provides a vehicle’s license plate number, make, model, color, and direction of travel in a searchable dashboard.
Searchable database
Conduct advanced searches based on full, partial, or missing plate numbers and vehicle attributes.
Live map view
Look across your entire jurisdiction to pinpoint exactly where a license plate or vehicle was last seen.
Flexible data retention
License plate and vehicle data is stored based on your policies with easy access and search filters.
Installation comprehensive Rekor Edge Max protection
The City of Lauderhill in southeast Florida selected Rekor to deploy 167 Rekor Edge Max systems to provide law enforcement an additional public safety resource. Rekor was chosen after a rigorous review period in which its industry-leading LPR technology outscored several well-known competitors. 73 locations for systems were identified to provide the best possible coverage and protect the entire City of Lauderhill community.
Systems built for all environments
Rekor Edge Series features two ALPR models to enable license plate and vehicle recognition for countless use cases.
Choose a system that's right for you
Not sure which system to select? Talk to our experts today.
Installation method
Capture distance (max)
Lane coverage (max)
Capture speed (max)
Camera resolution
Dual-camera configuration
Day/night operation
Communications
Cellular service
Cellular modem
GPS
Ethernet port
Security
Mount and power
Mounting style
Power consumption
Solar power
Environmental
Enclosure
Operational temperature
Storage temperature
Ready for better license plate recognition (ALPR)?
With a large inventory of state-of-the-art devices that are easy to deploy, Rekor is ready to level up your technology tomorrow.
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