Detect, identify, and act on vehicle data in real time, across parking, tolling, enforcement, and smart city environments, with AI-powered license plate recognition built for enterprise scale.
Automatic License Plate Recognition is an AI-powered computer vision system that automatically detects vehicles, localizes license plates, and converts plate images into machine-readable text using OCR. These results are instantly stored, searched, and integrated into traffic, access control, parking, tolling, and surveillance systems.
Folio3’s software-first ALPR platform works seamlessly with your existing CCTV and IP camera infrastructure, eliminating the need for costly proprietary hardware. Deploy faster, scale effortlessly, and achieve enterprise-grade accuracy at a fraction of the cost.
Automatically detect license plates and extract vehicle attributes such as make, model, color, and type from live video and recorded footage for complete vehicle profiling.
Process snapshots, uploaded videos, and real-time camera streams with the same high accuracy, giving you full flexibility across all monitoring environments.
Instantly flag unauthorized, blacklisted, or suspicious vehicles with automated, real-time alerts for faster enforcement and response.
Seamlessly integrate with parking systems, access control, tolling platforms, and security software—and scale easily as traffic volume and deployments grow.
Built on advanced computer vision and deep learning, our ALPR performs reliably across day/night conditions, motion blur, dust, low light, and harsh angles.
With support across 90+ countries, our ALPR models are regionally fine-tuned to recognize diverse plate formats, languages, and compliance requirements.
Our AI-powered license plate recognition software is trained to operate in various and complex conditions.
Advanced motion deblurring and deep-learning OCR ensure accurate plate recognition even when image quality is compromised.
AI models correct skewed perspectives and angled views for consistent plate capture from non-ideal camera placements.
Supports infrared and low-light detection for reliable plate recognition in nighttime and poor lighting conditions.
High-speed vehicle detection ensures accurate recognition on highways, toll booths, and enforcement zones.
Detects and processes multiple vehicles across lanes in real time for traffic-heavy environments.
Supports regional, commercial, private, two-wheeler, and specialty plate formats with region-tuned AI models.
Go beyond plate reading — our ALPR captures rich vehicle attributes including make, model, color, type, direction, and dwell time for complete vehicle profiling.
Our ALPR system captures live vehicle traffic, instantly detects and reads license plates using AI, and securely analyzes and stores the data in real time. It seamlessly integrates with your existing systems to trigger automated actions such as gate access, alerts, reporting, and security enforcement, ensuring fast, accurate, and fully automated operations.
Folio3’s software-first ALPR solution integrates seamlessly with your existing camera infrastructure to automate vehicle recognition, traffic intelligence, access control, and security workflows without expensive hardware upgrades. Our AI delivers real-time insights across public and private sector operations with unmatched scalability.
Monitor traffic flow, detect violations, analyze congestion, and improve roadway safety using real-time vehicle tracking and data-driven enforcement.
Automatically track vehicle entry and exit at sensitive locations, trigger real-time alerts for blacklisted vehicles, and strengthen perimeter security without manual checks.
Enable ticketless toll collection and frictionless parking access with automated plate recognition, payment validation, and enforcement at scale.
Reduce wait times, identify repeat customers, and optimize service efficiency with AI-powered vehicle detection for QSRs and retail locations.
Track fleet movement in real time, automate yard management, monitor asset utilization, and improve dispatch accuracy with ALPR-driven visibility.
Strengthen city-wide traffic intelligence, automate law enforcement workflows, manage congestion, and improve public safety with scalable ALPR deployments.
Control vehicle access at factories, warehouses, ports, and restricted zones using automated license verification and real-time threat alerts.
Modernize parking operations with real-time plate recognition and enforcement, all without hardware changes.
Leverage vehicle recognition to understand customer patterns, optimize store operations, and enhance location planning.
From detection to decision, our ALPR transforms video into actionable vehicle intelligence in real time.
Turn raw traffic footage into actionable insights with detailed vehicle logs, movement trends, and performance analytics.
Achieve up to 90%+ recognition accuracy with instant plate capture—even in high-speed, low-light, and congested environments.
Effortlessly integrate with access control systems, parking platforms, visitor management tools, gates, and alarms through secure APIs.
Built to scale from single-site deployments to city-wide installations, with cloud, on-prem, and edge AI support.
Simultaneously detect and process vehicles across multiple lanes in real time for highways, toll plazas, and large facilities.
Instantly search historical plate data by number, time, location, or frequency for fast investigations and reporting.
Investigate incidents with video-linked plate data, timestamps, and location tracking for faster resolution.
Export structured data for compliance reporting, analytics dashboards, audits, and third-party integrations.
Trigger automated alerts for blacklisted, stolen, or unauthorized vehicles for proactive enforcement.
Seamlessly connect with your existing cameras, systems, and software whether on-prem or in the cloud. Our ALPR solutions are built for fast, flexible integration.
Compare accuracy, speed, scalability, and integration. See why our AI-powered ALPR software is the smarter choice over traditional, RFID, or hardware-based methods.
Near 100% with AI-driven detection even in blur, dust, night, or low light
Error-prone; varies by operator and conditions
Real-time detection & instant insights
Slow, inconsistent, manual entry
Cloud & edge ready; scale across fleets, sites, or cities
Not scalable; labor-intensive
Seamlessly integrates with any system (fleet, security, tolling, access control)
Manual logs; little to no system connectivity
Works in all conditions: blur, dust, night, rain, low light
Limited by visibility, fatigue, and human error
Software-first; minimal hardware; pay-as-you-scale
High ongoing labor cost
Any vehicle, any plate, any lane
Limited to staffed checkpoints
AI improves over time; configurable; model updates
Stagnant; hard to improve
With over 275 million registered vehicles on the road, the United States faces growing challenges in traffic enforcement, congestion management, and public safety.
ALPR systems are adaptable, whether you're covering a small town or a multi-state highway network.
Unlike manual plate checks or legacy cameras, ALPR delivers high-volume, real-time insights with minimal human intervention.
ALPR feeds into broader intelligent transportation systems (ITS), supporting goals around sustainability, congestion reduction, and safety.
An industry leader in comprehensive video content analytics platforms sought to enhance its surveillance services to make cities smarter and safer. They approached Folio3 AI to develop an Automatic Number Plate Recognition (ANPR) solution capable of reading vehicle number plates from images, videos, and live camera streams. The solution needed to handle both printed and handwritten number plates in a standard format approved by the authorities and be deployable on-site. Expertise used Machine Learning, Computer Vision, OCR, ALPR Country East Asia Industry Cyber Intelligence and Surveillance
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