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The Madoors USA Automatic Number Plate Recognition System — ANPR/LPR — is a special form of optical character recognition technology that automatically reads, stores, and analyzes vehicle license plate registration numbers from digital images — transforming the pixels of high-resolution camera images into ASCII text of the number plate for vehicle identification, access control, parking enforcement, speed enforcement, red light enforcement, and mobile patrol applications. With a high-resolution camera and embedded processor in an IP66-rated enclosure with built-in IR illumination providing constant good image quality day and night in all weather conditions, 7/24 operation detecting vehicle license plate number, brand, and color simultaneously, wired and wireless data transfer to any remote location, and easy installation on roads, bridges, highways, and structures, the Madoors USA ANPR System provides the complete automatic vehicle identification platform for any traffic enforcement, parking management, or vehicle access control application.
TECHNICAL SPECIFICATIONS
The Madoors USA ANPR System uses a high-resolution camera with an embedded processor platform housed in an IP66-rated enclosure — the IP66 rating confirms complete dust-tight and high-pressure water jet protection for continuous outdoor installation on roads, bridges, and vehicle access structures in all weather conditions.
The built-in IR infrared illumination unit provides the optimal illumination for license plate recognition — retroreflective license plates reflect IR illumination very strongly back to the camera, while IR light is invisible to the human eye and does not create glare or distraction for vehicle drivers. This IR illumination combined with short shutter time provides the constant good image quality required for fast-moving vehicle capture without motion blur — the combination works consistently day and night and in all weather conditions including rain, fog, and low-visibility conditions.
The OCR image processing transforms the captured plate image pixels into ASCII text representing the license plate registration number — the embedded processor performs this transformation in real time as the vehicle passes the camera. Vehicle brand and color detection are performed simultaneously with plate reading from the same camera image, providing the three-part vehicle identification required for enforcement and access control applications.
Data transfer — both the recognized plate text data and the captured vehicle images — is available via wired network connection and wireless communication to any specified remote server location. The central server application stores, indexes, and analyzes the plate data and images for the configured application — parking enforcement, access control database matching, speed or red light enforcement evidence, or mobile patrol vehicle history.
The compact structure allows mounting on roads, bridges, highways, and art structures — fixed overhead gantry mounting for multi-lane highway applications, side-mounted on poles for single-lane access control positions, and mobile vehicle-mounted for mobile patrol ANPR applications.
KEY FEATURES
IR Illumination & Short Shutter — Motion Blur-Free Day & Night
The IR illumination and short shutter time combination is the fundamental image quality engineering of the ANPR system — short shutter time freezes the image of a fast-moving vehicle without motion blur that would reduce OCR recognition accuracy, and IR illumination compensates for the reduced light entering the lens at the short shutter time. This combination directly provides the consistent recognition accuracy across all vehicle speeds and all lighting conditions that is the operational requirement of 24-hour enforcement and access control ANPR.
IP66 Enclosure — All-Weather 7/24 Operation
The IP66-rated enclosure provides the complete dust and water protection required for permanent outdoor installation at road and vehicle access positions — the camera, processor, and IR illumination are all sealed within the IP66 housing, maintaining operational capability in the most severe weather conditions encountered at outdoor traffic enforcement and vehicle access positions. This all-weather protection directly confirms the 7/24 continuous operation specification without weather-related downtime or image quality degradation.
Plate, Brand & Color Simultaneous Detection
The simultaneous detection of license plate number, vehicle brand, and vehicle color from the same camera image provides the complete three-part vehicle identity capture required for the most demanding enforcement and access control applications — plate number alone is insufficient for enforcement evidence where vehicle identity dispute is anticipated, and the brand and color data provide the corroborating evidence required for robust prosecution documentation.
Wired & Wireless Remote Data Transfer
The wired and wireless data transfer capability to any remote server location provides the installation flexibility required for the full range of ANPR deployment scenarios — wired connection for permanent fixed enforcement cameras with established network infrastructure, and wireless for mobile ANPR units, temporary enforcement positions, and any location where cable routing is impractical.
Red Light, Speed, Parking & Mobile Enforcement Applications
The four confirmed application areas — red light enforcement, speed enforcement detection, parking enforcement, and mobile patrol — confirm the complete traffic enforcement application range of the Madoors USA ANPR system. Each application uses the same core plate recognition capability with application-specific trigger logic — loop detector or radar trigger for speed enforcement, traffic light signal integration for red light enforcement, parking duration database for parking enforcement, and mobile patrol integration for mobile identification.
DEPLOYMENT SCENARIOS & USE CASES
Madoors USA ANPR Systems are specified for any vehicle identification, enforcement, or access control application requiring automatic license plate recognition.