Automatic Number Plate Recognition (ANPR) Cameras

HAWKBERG® ANPR (Automatic Number Plate Recognition) Cameras represent a technological breakthrough, purpose-built for efficient license plate data capture. In an era characterized by smart cities and digital evolution, effective traffic management plays a pivotal role in urban development and public security. At the forefront of this paradigm shift are AI-driven ANPR (Automatic Number Plate Recognition) cameras, delivering cutting-edge functionalities that surpass conventional ANPR systems. Our cameras are meticulously crafted to ensure swift and precise license plate data acquisition, seamlessly integrating with your security and surveillance framework. In addition, they are equipped with advanced AI and face detection capabilities, enhancing their versatility and utility.

The choice of  ANPR (Automatic Number Plate Recognition)  system depends on the specific application, environmental conditions, and the level of accuracy required. HAWKBERG® ANPR (Automatic Number Plate Recognition)  technology continues to evolve, offering greater accuracy and versatility for a wide range of use cases.

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Key Features of Hawkberg® ANPR Cameras

Accuracy & SpeedHAWKBERG® ANPR cameras offer high accuracy in recognizing license plates, even in challenging conditions such as low light or adverse weather.
Real-time data processingExperience real-time data processing capabilities that allow for instant recognition and notification of authorized or unauthorized vehicles.
Cost efficiencyBy automating tasks such as toll collection, access control, UVSS and parking management, HAWKBERG® ANPR cameras help you reduce operational costs.
Enhanced securityThe ability to quickly identify vehicles of interest enhances security in various applications, from parking lots to border crossings.
Data analysisANPR systems generate valuable data that can be used for traffic analysis, pattern recognition, and future planning.
Integration capability HAWKBERG® ANPR cameras  seamlessly integrate with existing security systems and databases, enhancing their functionality and providing a holistic surveillance solution.
Versatile deploymentHAWKBERG® ANPR cameras are versatile and adaptable to various environments, including highways, parking facilities, access control points, and law enforcement applications.

 

HAWKBERG CBPR series, Camera based ANPR systems are the most common type of ANPR systems. It uses cameras to capture images of license plates, which are then processed using optical character recognition (OCR) technology to extract the plate information.

HAWKBERG FAS Fixed ANPR series systems are permanently installed at specific locations, such as toll booths, parking entrances/exits, or on highways. They continuously monitor and capture license plates of passing vehicles, hence provide efficient security solutions.

HAWKBERG MOPR, Mobile ANPR Systems are portable and can be mounted on vehicles or used as handheld devices by law enforcement. They are often used for vehicle tracking, parking enforcement, and law enforcement applications. Designed to be rugged with user friendly interface.

HAWKBERG IRP, an Infrared ANPR systems use infrared cameras to capture license plates even in low-light or nighttime conditions, hence are applicable for most of remote & dark locations. They rely on infrared illumination to enhance image quality.

HAWKBERG TDPR, 3D ANPR systems use 3D technology, often involving multiple cameras, to capture not only the license plate but also the depth information of the vehicle, thereby improvong the accuracy and reduce errors.

HAWKBERG AVPR, Automatic Vehicle Identification systems are a specialized type of ANPR used in access control and toll collection. They not only recognize license plates but also vehicle characteristics for access management.

HAWKBERG FPR, Face Recognition ANPR systems are integrated with facial recognition technology to identify vehicle occupants in addition to existing plate recognition system as an added layer of security.

HAWKBERG DLPR Deep Learning ANPR systems use deep learning and artificial intelligence (AI) techniques to improve the accuracy of license plate recognition. They are capable of recognizing plates in various fonts, languages, and conditions.

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