Dataset of license plate recognition

Dataset contains 177,827 photos of license plates, providing a comprehensive resource for OCR (Optical Character Recognition), plate recognition, and vehicle registration analysis. Each image file is paired with a CSV file containing license plate text for use in OCR, plate recognition, and characters recognition tasks. By leveraging this dataset, researchers can explore traffic patterns, improve traffic management, and train learning models for… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/germany-license-plate-dataset.

Germany License Plate Dataset with precisely annotated images for training AI in high-speed traffic analysis, automotive R&D, and automated border control

German License Plates

## Overview

German License Plates is a dataset for object detection tasks - it contains License Plates annotations for 1,243 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

A collection of cropped vehicle license plates from across the EU (primarily Germany) for training automated license plate detection and extraction ML and OCR models. German plates are further sourced from a variety of states, allowing for sticker detection, extraction, and state classification models to be further developed. This dataset is used in the SODALITE Vehicle IoT use case for training automated license plate recognition models.

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Vehicle License Plate Market Size 2025-2029

The vehicle license plate market size is forecast to increase by USD 438.3 million, at a CAGR of 9% between 2024 and 2029.

The market is witnessing significant developments, with the trend toward standardization of license plate sizes gaining momentum. This uniformity in plate dimensions is facilitating the integration of advanced technologies such as Radio Frequency Identification (RFID). The adoption of RFID-based license plates is on the rise, offering enhanced security features and streamlined vehicle tracking. However, the market faces challenges in the form of stringent regulations governing the issuance of license plates. These restrictions can hinder market growth, necessitating careful navigation by market participants. Companies seeking to capitalize on the opportunities presented by this market should focus on innovations that cater to the demand for advanced security features and compliance with standardization efforts. Meanwhile, navigating regulatory hurdles will be crucial for maintaining a competitive edge.

What will be the Size of the Vehicle License Plate Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in technology and the expanding applications across various sectors. Traffic management systems utilize high-resolution cameras and infrared illumination for plate detection, enabling real-time processing and edge computing for efficient congestion control. Compliance regulations mandate stringent data security measures, ensuring data privacy and accuracy rates in license plate data acquisition. Fleet management solutions integrate machine learning algorithms and optical character recognition for vehicle identification and tracking, enhancing operational efficiency. Law enforcement agencies employ image analysis and deep learning techniques for pattern recognition, improving enforcement automation and false positive rate reduction. Software development in license plate recognition systems incorporates API integration, data analytics, and database management for effective data storage and retrieval. Neural networks and industry standards streamline system deployment and integration, ensuring seamless access control and hardware integration. Plate detection and number plate scanning are essential components of parking management and toll collection systems, enhancing revenue generation and customer experience. Ongoing research in computer vision and character recognition further refines the technology, enabling new applications and improving overall performance. The market's continuous dynamism is evident in the evolving patterns of license plate recognition systems, with a focus on accuracy, efficiency, and compliance. The integration of advanced technologies such as machine learning, real-time processing, and edge computing ensures the market remains at the forefront of innovation.

How is this Vehicle License Plate Industry segmented?

The vehicle license plate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Distribution ChannelOEMAftermarketVehicle TypePCLCVHCVElectric vehiclesMaterialAluminumSteelGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKAPACAustraliaChinaIndiaJapanSouth KoreaRest of World (ROW).

By Distribution Channel Insights

The oem segment is estimated to witness significant growth during the forecast period.The market encompasses various entities, including border control, data acquisition, pattern recognition, security systems, data storage, vehicle identification, high-resolution cameras, support services, image analysis, deep learning, law enforcement, data security, accuracy rates, license plate data, traffic management, infrared illumination, real-time processing, edge computing, compliance regulations, fleet management, machine learning, system deployment, optical character recognition, false positive rate, vehicle tracking, number plate scanning, congestion control, software development, computer vision, false negative rate, API integration, accident prevention, vehicle registration, data privacy, hardware integration, plate detection, enforcement automation, license plate recognition, camera systems, parking management, data analytics, image processing, toll collection, cloud computing, database management, system integration, compliance monitoring, maintenance services, character recognition, traffic monitoring, database integration, neural networks, industry standards, access control, and led lighting. In the distribution channel segment, Original Equipment Manufacturers (OEMs) play a significant ro

Dataset MetadataDescription:This dataset contains images of alphanumeric characters (0-9 and a-z) for text recognition tasks. Each character is represented by 100 samples, resulting in a total of 3600 samples. The images are grayscale with a resolution of 20x20 pixels, which have been flattened into 400-dimensional vectors.Content:X: The feature matrix with dimensions (3600, 400). Each row corresponds to a 20x20 pixel image flattened into a 400-dimensional vector.y: The label matrix with dimensions (3600, 36). Labels are one-hot encoded for 36 classes (0-9 and a-z), where each class has 100 samples.Features:X (3600, 400):Each row represents a flattened 20x20 pixel grayscale image of an alphanumeric character.Contains 3600 samples, with each sample having 400 features.y (3600, 36):Each row represents the one-hot encoded label for the corresponding sample in X.Contains 3600 samples, with each sample having 36 features representing the alphanumeric classes (0-9 and a-z).Classes:36 classes representing the alphanumeric characters:Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9Letters: a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, zUsage:This Dataset is primarily made for "Pakistan (Punjab) Number Plates Recognition specifically for German-style number plate font " but it is not limited, it is suitable for tasks such as:Alphanumeric character recognitionOptical character recognition (OCR)Machine learning and deep learning experiments for text classificationSource:This dataset was created for research and educational purposes to facilitate the development and evaluation of text recognition algorithms.Acknowledgements:If you use this dataset in your research or projects, please cite the source appropriately.NOTESimply load csv files mentioned below for loading data in dataframesX_NPRS_dataset_samples.csvy_NPRS_dataset_labels.csvor load AlphaNumaric.mat for loading data in MATLAB

This download service provides the areas of the license plates on a scale of 1:250,000 for the territory of the Federal Republic of Germany. The overview of the license plates contains the feature type AX_KreisRegion and AX_Gemeinde with the attributes name, regional key of the administrative areas, vehicle number plate, location (geometry data from the administrative areas on a scale of 1:250,000 and additional attributive geographical coordinates - GGMMSS -) The data set is oriented at a scale of 1:250,000 and contains around 410 entries. The position of the objects is described as surface geometry and as point geometry (via attributes). There are a few license plates that are only managed by municipalities. Only the affected communities are shown. The copyrighted data is provided free of charge under Data License Germany Attribution 2.0. Scale: 1:250000

The global anti-tamper number plate market is experiencing robust growth, driven by increasing vehicle ownership, stringent government regulations concerning vehicle identification and security, and a rising demand for advanced security features to combat vehicle theft and cloning. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key trends, including the adoption of high-security materials like polycarbonate and stainless steel, the integration of electronic components for enhanced tracking and verification, and the increasing popularity of personalized number plates. The market is segmented by material type (plastic and stainless steel) and application (passenger cars and commercial vehicles), with the passenger car segment currently dominating due to higher vehicle volumes. Significant regional variations exist, with North America and Europe representing substantial market shares due to advanced vehicle security infrastructure and strong regulatory frameworks. However, developing economies in Asia-Pacific, particularly India and China, are emerging as high-growth areas, driven by rapid automotive sector expansion. While the high initial cost of anti-tamper plates compared to traditional plates could act as a restraint, the long-term benefits in terms of security and reduced vehicle-related crime are expected to outweigh this factor, ensuring sustained market growth. The competitive landscape is characterized by a mix of established players and emerging companies, with many focusing on technological innovation and expansion into new markets. Key players are investing heavily in research and development to introduce new features such as integrated RFID tags, holograms, and other advanced security measures. The market's future growth trajectory will depend on several factors including government policies supporting vehicle security, technological advancements in anti-tamper technology, and the overall growth of the automotive industry. The increasing incidence of vehicle theft and associated crimes is a crucial driver for market expansion, creating a sustained demand for robust and secure anti-tamper number plates in both developed and developing regions. As technological advancements continue to enhance the security features of these plates, their adoption is expected to accelerate, further contributing to the market's growth.

The Vehicle Anti-Tamper Number Plate market, valued at $628 million in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 6.6% from 2025 to 2033. This growth is fueled by increasing vehicle theft rates globally, stringent government regulations mandating tamper-proof number plates for enhanced security and vehicle identification, and the rising adoption of advanced technologies like RFID and GPS integration within number plates for improved tracking and theft recovery. The market's expansion is further driven by increasing awareness among consumers regarding vehicle security and the associated benefits of anti-tamper number plates. Key players like Shimnit, Utsav Safety System, and others are actively investing in research and development to innovate new designs and materials, enhancing the durability, security features, and aesthetic appeal of these plates. The market segmentation likely includes different plate materials (aluminum, polycarbonate, etc.), technologies (RFID, GPS), and geographic regions, with variations in market share based on regulatory landscapes and technological adoption rates. Despite the positive outlook, the market faces some challenges. High initial investment costs associated with the adoption of advanced anti-tamper technologies might limit widespread adoption, particularly in developing economies. Furthermore, the effectiveness of anti-tamper technology is contingent upon enforcement mechanisms and police capabilities. The market's future trajectory will depend on factors such as technological advancements, stricter law enforcement, successful public awareness campaigns, and the overall economic climate. The continued rise in vehicle theft and stricter regulations is likely to offset the cost-related restraints, making the market poised for substantial growth over the forecast period.

The overview of the vehicle registration plates (KFZ250) for the territory of the Federal Republic of Germany is compiled from the products Geographical names, administrative areas and digital landscape model on a scale of 1:250 000 with additional link to the data from the Federal Motor Transport Authority. This data set contains districts and isolated municipalities with geographical names as well as the associated vehicle license plates. The geometry is derived in terms of accuracy and resolution from the administrative areas on a scale of 1:250 000 (VG250).

The Anti-Tamper Number Plate market is experiencing robust growth, driven by increasing vehicle security concerns and stringent government regulations aimed at curbing vehicle theft and related crimes. The market size in 2025 is estimated at $500 million, projecting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, technological advancements in number plate manufacturing, leading to more sophisticated and durable anti-tamper designs, are attracting significant investments. Secondly, the rising adoption of electronic number plate systems integrated with vehicle identification and tracking technologies further boosts market expansion. Finally, increasing government initiatives focusing on improved road safety and security, including stricter penalties for vehicle-related crimes, are acting as powerful catalysts. The market is segmented by plate type (standard, high-security), material (aluminum, steel), and application (passenger vehicles, commercial vehicles). Despite the promising growth outlook, the market faces certain restraints. High initial investment costs associated with implementing anti-tamper number plate systems might hinder adoption, particularly in developing economies. Furthermore, the market faces challenges related to counterfeit products, requiring robust quality control mechanisms and enforcement actions. Competition from existing players and new entrants is also expected to intensify, creating a more dynamic and competitive landscape. The leading companies—Shimnit, Utsav Safety System, Real Mazon, Eastern (Steel & Saws) Industries, Demon Plates, Avantika Elcon Private Limited, Godawari Groups, FTA HSRP Solution Pvt Ltd, CarReg, and DKT German License Plate Technology—are continuously innovating and expanding their product portfolios to maintain their market share. The market is geographically diversified, with significant growth anticipated in regions experiencing rapid urbanization and increasing vehicle ownership.

List of license plates on diplomatic vehicles in Germany

14482 Global export shipment records of Number Plate with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The overview of the vehicle registration numbers (KFZ250) for the territory of the Federal Republic of Germany is created from the products geographical names, administrative areas and digital landscape model on a scale of 1:250,000 with an additional link to the data from the Federal Motor Transport Authority. This data set contains districts and isolated communities with geographic names and the associated license plates. The geometry is derived from the 1:250,000 scale (VG250) administrative areas in terms of accuracy and resolution.

This dataset features over 1,000,000 high-quality images of cars, sourced globally from photographers, enthusiasts, and automotive content creators. Optimized for AI and machine learning applications, it provides richly annotated and visually diverse automotive imagery suitable for a wide array of use cases in mobility, computer vision, and retail.

Key Features: 1. Comprehensive Metadata: each image includes full EXIF data and detailed annotations such as car make, model, year, body type, view angle (front, rear, side, interior), and condition (e.g., showroom, on-road, vintage, damaged). Ideal for training in classification, detection, OCR for license plates, and damage assessment.

1. Unique Sourcing Capabilities: the dataset is built from images submitted through a proprietary gamified photography platform with auto-themed competitions. Custom datasets can be delivered within 72 hours targeting specific brands, regions, lighting conditions, or functional contexts (e.g., race cars, commercial vehicles, taxis).

2. Global Diversity: contributors from over 100 countries ensure broad coverage of car types, manufacturing regions, driving orientations, and environmental settings—from luxury sedans in urban Europe to pickups in rural America and tuk-tuks in Southeast Asia.

3. High-Quality Imagery: images range from standard to ultra-HD and include professional-grade automotive photography, dealership shots, roadside captures, and street-level scenes. A mix of static and dynamic compositions supports diverse model training.

4. Popularity Scores: each image includes a popularity score derived from GuruShots competition performance, offering valuable signals for consumer appeal, aesthetic evaluation, and trend modeling.

5. AI-Ready Design: this dataset is structured for use in applications like vehicle detection, make/model recognition, automated insurance assessment, smart parking systems, and visual search. It’s compatible with all major ML frameworks and edge-device deployments.

6. Licensing & Compliance: fully compliant with privacy and automotive content use standards, offering transparent and flexible licensing for commercial and academic use.

Use Cases: 1. Training AI for vehicle recognition in smart city, surveillance, and autonomous driving systems. 2. Powering car search engines, automotive e-commerce platforms, and dealership inventory tools. 3. Supporting damage detection, condition grading, and automated insurance workflows. 4. Enhancing mobility research, traffic analytics, and vision-based safety systems.

This dataset delivers a large-scale, high-fidelity foundation for AI innovation in transportation, automotive tech, and intelligent infrastructure. Custom dataset curation and region-specific filters are available. Contact us to learn more!

Forecast: Import of Non-Illuminated Base Metal Sign Plates, Letter, Number of Base Metal to Germany 2024 - 2028 Discover more data with ReportLinker!

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Vehicle RFID Tag Market Size 2025-2029

The vehicle rfid tag market size is forecast to increase by USD 3.2 billion, at a CAGR of 19% between 2024 and 2029.

The market experiences significant growth as governments worldwide adopt RFID technology for license plates to enhance revenue collection and streamline traffic management. RFID tags offer numerous advantages over traditional methods, including increased accuracy, reduced processing time, and improved security. However, the market faces competition from alternative technologies, such as GPS and Bluetooth, which offer real-time location tracking. According to recent studies, the adoption of RFID tags for license plates has led to a notable increase in tax revenue. For instance, in one European country, the implementation of RFID-based license plates resulted in a 23.3% rise in tax collections.
This trend is expected to continue as more governments recognize the potential benefits of RFID technology. Despite the promising growth, the market dynamics remain complex. The integration of RFID technology in vehicles requires significant investment in infrastructure and technology. Additionally, privacy concerns and data security issues persist, which may hinder market expansion. Nevertheless, ongoing research and development efforts are expected to address these challenges, driving the market forward. The adoption of RFID tags for license plates is not limited to tax revenue collection. The technology also offers potential applications in traffic management, parking management, and vehicle tracking.
As a result, the market is poised for continued growth and innovation. In conclusion, the market is a dynamic and evolving landscape, driven by the growing adoption of RFID technology for license plates and the potential applications across various sectors. Despite challenges, the market is expected to thrive, offering significant opportunities for businesses and governments alike.

Major Market Trends & Insights

  APAC dominated the market and accounted for a 76% growth during the forecast period.
  The market is expected to grow significantly in North America as well over the forecast period.
  By the Vehicle Type, the Passenger cars sub-segment was valued at USD 956.30 billion in 2023
  By the Technology, the Active RFID tag sub-segment accounted for the largest market revenue share in 2023

Market Size & Forecast

  Market Opportunities: USD 312.20 million
  Future Opportunities: USD 3.20 billion 
  CAGR : 19%
  Base yer largest region tag: Largest market in 2023

What will be the Size of the Vehicle RFID Tag Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

The global Vehicle RFID market is evolving as industries adopt advanced solutions to streamline tracking, monitoring, and data management. Continuous improvements in rfid tag encoding, rfid data format, and antenna tuning have enabled businesses to enhance identification accuracy while integrating technologies such as data logger integration for real-time performance monitoring. These advancements reflect the broader shift toward intelligent systems where rfid tamper detection and backscatter communication provide added security and reliability. The growing emphasis on rfid reader sensitivity, rfid tag material, and frequency hopping further demonstrates how the market is adapting to ensure uninterrupted performance across demanding applications.
Market expansion is strongly influenced by operational improvements such as optimized rfid reader range, large-scale rfid system deployment, and better rfid tag reliability. The development of compact rfid tag size options and innovations in rfid tag power source design highlight how manufacturers are meeting the demand for scalable and efficient technologies. Additionally, businesses are focusing on proactive rfid system maintenance and timely rfid system upgrade strategies to strengthen resilience. Enhancements such as rfid signal boosting and investment in rfid infrastructure ensure broader tag read range coverage and seamless integration with enterprise systems.
The role of intelligent software has become central, with rfid middleware driving improved data interpretation, rfid system scalability supporting enterprise-wide adoption, and rfid compliance standards ensuring interoperability. Metrics such as data transmission speed, combined with advanced error correction coding, provide businesses with reliable, accurate performance while keeping overall rfid system cost competitive. Expanding rfid tag application areas, including vehicle fleet management, highlight the market's versatility and ongoing adaptation across diverse operational environments.
A comparison of adoption data underscores the momentum of this market. Current usage levels show that 62% of enterprises have integrated RFID into core operations, while future expec

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Automotive Skid Plate Market Size 2024-2028

The automotive skid plate market size is forecast to increase by USD 59.36 billion at a CAGR of 9.9% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing popularity of off-road activities among consumers. This trend is fueled by the growing demand for vehicles capable of handling rough terrains, thereby increasing the need for robust skid plates to protect the undercarriage. Furthermore, the focus on advanced materials, such as aluminum and steel alloys, in the production of automotive skid plates is a key trend in the market. These materials offer superior protection against impact and corrosion, enhancing the overall durability and longevity of the skid plates. However, regulatory hurdles impact adoption, with stringent emission norms and safety regulations posing challenges for manufacturers.
Additionally, supply chain inconsistencies, particularly in the sourcing of raw materials and component parts, can temper growth potential. Despite these challenges, there is a growing preference for body accessories, including skid plates, for their aesthetic appeal rather than just their functional benefits. This trend presents a significant opportunity for market players to innovate and differentiate their offerings, catering to the evolving needs and preferences of consumers. Companies seeking to capitalize on market opportunities and navigate challenges effectively should focus on optimizing their supply chain, investing in research and development, and leveraging digital technologies to enhance customer engagement and experience.

What will be the Size of the Automotive Skid Plate Market during the forecast period?

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In the automotive market, skid plates have emerged as essential components for preventing damage to a vehicle's undercarriage, particularly for truck owners and adventure seekers. Chassis protection is a priority for maintenance professionals and SUV drivers, ensuring vehicle durability and increasing the lifespan of their vehicles. Performance car owners and off-road enthusiasts also seek advanced manufacturing techniques for vehicle upgrades, such as bumper guards, rock sliders, and high-strength materials. Commercial vehicle operators and fleet managers prioritize crash protection and repair shop efficiency, while reducing repair costs through customizable solutions.
The market for automotive skid plates continues to evolve, with a focus on rugged construction, impact absorption, and driving safety. The demand for undercarriage protection is on the rise, as more consumers seek to enhance their vehicles' off-road performance and durability.

How is this Automotive Skid Plate Industry segmented?

The automotive skid plate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  SUV
  Pick up truck
  ATV
  Adventure motorcycle
  Others


Distribution Channel

  OEM
  Aftermarket


Geography

  North America

    US
    Canada


  Europe

    Germany


  APAC

    China
    Japan


  Rest of World (ROW)

By Application Insights

The suv segment is estimated to witness significant growth during the forecast period.

The aftermarket industry has experienced significant growth in the US market, with a focus on underbody protection becoming increasingly popular among consumers. Fuel tank protection, a critical component of underbody shielding, is in high demand, particularly for heavy-duty vehicles and performance vehicles used in off-road activities such as rock crawling and trail driving. Aluminum skid plates and custom skid plates are popular choices due to their lightweight properties and superior corrosion resistance. Performance enhancements are a significant factor driving the demand for these protective components, as they provide impact resistance and suspension protection, ensuring the vehicle's durability and longevity.

Commercial vehicles, including delivery trucks and construction equipment, also require robust underbody protection. Composite skid plates and welded skid plates are popular options due to their high abrasion resistance and differential protection capabilities. Transmission protection is another essential consideration for commercial vehicles, ensuring the smooth operation of the vehicle and reducing downtime. Bolt-on skid plates offer a cost-effective solution for consumers seeking aftermarket replacement parts. OEM skid plates are also available, providing a perfect fit and ensuring optimal vehicle protection. Material science plays a crucial role in the development of skid plates, with ongoing research focusing on improving the strength and durability of lightweight materials.

In summary, t

Recorded fines of urban speed enforcement from 2017.

Data record structure with transaction data (10 data fields):
(1) year
(2) month
(3 ) Incident date,
(4) Incident time (" 5" = 00:05; " 335" = 03:35; "1211" = 12:11)
(5) Local abbreviation (for German license plates, otherwise up to the first dash or blank),
(6) speed,
(7) exceeding,
(8) vehicle type,
(9) agency = location type
(10) Location abbreviation.

Ex.:
year; Month; incident date: incident time; label1; speed; transgression; vehicle type; Department; location
2019; 1; 10119; 5; K- ; 46; 13; 04a; S-01; 39

The following applies: only the speed and red light cases that were recorded by the data collection of the security and traffic service are included. The police speed reports are missing.

The following applies to the "vehicle type" column:
(possible characteristics)
01a motorcycle
02a light motorcycle
03a small motorcycle
04a car
05a car with trailer
06a truck over 3.5 t up to 7.5 t GVW
06b truck over 7.5 t GVW
06c truck up to 3.5 t GVW
06d Motor home over 3.5 t to 7.5 t
07a Truck up to 3.5 t GVW with trailer
08a Bus
08b Bus with passengers < br /> 09a motor bus with trailer
10a tractor
11a tractor
11b tractor kennz.pfl. with dangerous goods
12a Agriculture/forestry Tractor
13a Agriculture/Forestry. Tractor with trailer
99a Other vehicles

Location tables:

Six separate location tables are used for the "location" column

(sloc-01..., sloc-02... etc.)

supplied with the following information for the speed measuring locations sloc...:

< /p>

(1) location abbreviation (as in data table),

(2) allowed speed car,

(3) allowed speed truck,

(4) Crime scene district (partly beginning with two letters = alternative location code),

(5) Tatstraße with house number,

(6) Direction of travel.

Remaining columns: are not required.

The "office" field usually corresponds to the location type with which the name of the location table begins.

Automatic Number Plate Recognition (ANPR) System Market Entdecken Sie die neuesten Marktdaten. Neue Trends, Segmentanalysen und Prognosen zum Marktanteil bis 2034 sind enthalten.