Automatic License Plate Recognition Reader System
Automatic License Plate Recognition Reader System For 10 years, MRM TECHNOLOGY EXIM has occupied the first position in the sales market of the Access Control industry. Thanks to a professional team who works on car parking systems, barrier gates, tripod turnstiles, parking guidance systems, license plate recognition systems, and door access control system approach to each client, the company has proved to everyone that the vending business is simple and profitable.
Our experience allows us to create highly effective products with good value for money, which successfully compete in the global market of barrier gates. To produce and assemble the barrier gates we use reliable components from well-known international companies.
Automatic Number Plate Recognition
What is License plate Recognition?
Automatic Number Plate Recognition (ALPR) is the capacity to capture photographic video or images from license plates and transform optical data into digital information in real-time.
Also known as Automatic Number Plate Recognition (ANPR), LPR is a widely used technology for vehicle management operations such as Ticketless Parking (off-street and on-street), tolling, ITS, stolen vehicles detection, smart billing, and many other applications.
By bringing the license plate digital information ( among other data such as vehicle’s direction and speed) into the mix, License plate Recognition allows operators to immediately gather and associate more data about every vehicle passing a control point.
- The action itself: Time, place, direction, and speed of the vehicle.
- The vehicle: Origin, Restrictions, or security alerts.
- The driver: License number, personal public or contact information about the driver.
How does License Plate Recognition Work?
Once the LPR camera has captured the license plate image, its firmware uses license plate specialized OCR routines to translate it into digital (machine-readable) characters.
But License plates are (very) different from each other, the characters don’t look the same, not even close.
To recognize a license plate correctly, we have to “teach” the algorithm to read different plate designs from different types of license plates; what may seem like an O in some plates looks like 0 in others.
So LPR is about knowing each possible plate variation and reading the characters according to many regional modifications, the algorithm needs to know “what to expect”.
Basic functions and characteristics of the system:
- Avoid trouble with card reader installation and maintenance.
- Car owners don’t worry about trouble with IC cards lost.
- Unique rolling led electronic display, local language available so that owners and managers read easily.
- Staff reduction and efficiency improvement.
- Save the cost of the IC card and don’t worry about the lack of IC cards.
- It can be operated in conjunction with the police alarm system to effectively combat illegal vehicles and assist in social security management.
- There are anti-lifting levers, full unloading, photoelectric control, and high-quality hood gates with an accurate balancing system.
- Reliability and adaptability of digital vehicle detection system.
- The brake device ensures that the brake lever will not fall if it is parked under the brake bar, whether it is an approaching vehicle or a reversed vehicle.
Technical Parameters:
| Brand | MR TECH |
| Product Name | Car License Plate Recognition system |
| Power Supply | Ac 220V / 110V ; 50/60 Hz ( optional) |
| Recognition Rate | up to 95% |
| Trigger Mode | Video trigger, coil trigger, vehicle capture rate over 99% |
| Ultra Wide Dynamics | 120 DB |
| Camera | 4MP |
| Operating Temperature | -20ºC ∼ +65ºC |
| Related Humidity | ≤95% RH |
| MTBH | 310,000 Hours |
| Communication | TCP /IP |
| Power Interface | DC 12V |
| Identification Accuracy | >99% |
| Voice prompt | 0.2 seconds |
| Protection Level | IP 65 |
| Minimum Illumination | 0.1 Lux (standard) |
| Capturing speed | ≤120 km/h |
| Detection Distance | 7-30m |
Applications scenario:
Suitable for parking lots in residential communities, enterprises and institutions, hotels, commercial buildings, government organizations, logistics companies, hospitals, villages, shoppings markets, and so on.
License Plate Recognition Phases:
Although it may seem instantaneous ( we at Survision do it all in less than 20ms), License Plate Recognition is a 4 stage process; the first 2 are standard OCR, but the complicated part that makes LPR different than regular OCR comes at phase 3 and 4.
- Localization: Finding the License plate within the whole image, disregarding unnecessary data, and focusing on the characters.
- Segmentation: Separating the precise zone containing every character to identify them.
- Identification: Character recognition from the individual zones previously identified.
- Regionalization: Regional Syntactical Correction to identify ambiguities on apparently identical characters( I or 1, O and 0, B and 8, etc)…
Automatic License Plate Readers
What is ALRP or ANPR?
Automatic License Plate Recognition (ALPR) or ANPR is the technology responsible for reading the License plates of a vehicle in an image or a video sequence using optical character recognition. With the latest advancements in Deep Learning and Computer vision, these tasks can be done in a matter of milliseconds
Uses:
ALPR is a very advanced and intelligent system that has become popular due to its various real-life use cases, without any Human Intervention, Let’s have a look at them.
- Traffic Violation: The ALPR can be used by police or law enforcement to identify any traffic violation by a vehicle at a traffic light using only a single camera. It can also be used to identify any stolen or non-registered vehicles in real time.
- Parking Management: Parking management at many places requires a lot of human interaction, but due to ALPR it can be reduced to zero. The camera installed in the parking lots can recognize the plates at the entrance and store them in a database or allow the vehicles only if they are in the database. At the time of exit, the plate can be recognized again and can be charged accordingly.
- Tollbooth payments: On highways, manual toll booths get hectic and can lead to huge traffic. Using ANPR, toll booths can recognize the license plates and receive payments automatically.
ANPR System Types:
There ar two primaary tpes of ANPR systems:
- Fixed Systems: Fixed ANPR systems are those that are installed at a specific location and point n time. For example, these systems may be installed at toll booths, border crossings, or other strategic locations.
- Mobile systems: Mobile ANPR systems are those that are carried by a vehicle and can be used to scan the registration plates of other vehicles. For example, these systems may be used by police cars to track down wanted vehicles.
How does ANPR work?
Automated number plate recognition (ANPR) systems apply optical character recognition (OCR) in combination with other image processing techniques to read vehicle registration plates.
ANPR is one of the most accurate and widely applied computer vision systems, and the applied methods are constantly evolving to increase the performance, accuracy, cost-efficiency, robustness, and scalability of automatic License Plate reader software.
Automatic Number Plate Recognition Techniques:
There are a few different techniques popularly used in ANPR, which are used in combination as part of the computer vision pipeline. The vision pipeline contains the steps required to transform image or video input into meaningful full information: those are the most important components:
- Real-time object detection: Object detection uses deep learning to recognize vehicles and different vehicle classes ( bus, truck, car, van, motorcycle, etc) in images of video streams. State-of-the-art object detection algorithms such as YOLOv3 or YOLOv7 use neural networks trained on a dataset of images.
- Image processing: Image Processing includes traditional computer vision methods used to normalize and prepare images for being processed by the OCR algorithm. Since ANPR applications are usually used in challenging real-world environments with varying illumination, occlusion, weather, and inconsistent set-ups, image processing functions are used to sharpen, color-correct, or crop images to significantly improve the results and output of subsequent algorithms. Open CV is one of the most widely used libraries for image-processing tasks in ANPR systems.
- Optical Character Recognition (OCR): OCR is an important computer vision technique for reading texts from images. This allows the ANPR system to identify license plates. Image processing techniques such as Tesseract OCR or Mask OCR algorithms are used to detect individual characters, verify the sequence of those characters, and convert the number plate image or text.
- Template Matching: Template matching is a technique to compare an image of a license plate against a library of images of license plates to find a match. Template matching is a technique for finding a specific pattern in a text string. In the case of ANPR, the set characters are vehicle number plates.
Parameters:
| Brand | MR TECH |
| Product Name | Automatic License Plate Recognition |
| Power Supply | AC 220 ∼ 240V |
| Working Frequency | 50Hz |
| Recognition Rate | day ≥99% , night ≥97% |
| The best shooting range | 3 – 10 m |
| Way of rotation | 1/3 CMOS |
| Operating Temperature | -20ºC ∼ +65ºC |
| Related Humidity | ≤95% |
| MTBH | 30,000 Hours |
| Communication | 10/100m Ethernet TCP /IP |
| Power Interface | DC 12V |
| Identification Accuracy | >99% |
| Protection Level | IP 65 |
| Adapt to vehicle speed | 0-150 km/h |
Benefits of Automatic Number Plate Recognition:
ANPR offers numerous advantages that are the basis for real-world applications. Most benefits of ANPR come with automating manual tasks, highly efficient space management, governance, and increasing the customer experience.
- Automation: The automated recognition of number plates allows automated alerts and controls for facilities. Hence, ANPR is a key technology for smart cities or toll stations.
- Accuracy: ANPR systems can achieve very high accuracy, and can quickly and easily identify vehicles by their license plates.
- Analytics: The generated data can be used for traffic flow analytics. This is particularly important for operating an Intelligent Transportation system (ITS), where data processing technologies are used to improve the mobility of people and goods, demand management, increase safety, reduce traffic congestion, and manage incidents effectively.
- Identification: Fast recognition of a vehicle numberplate is the basis for fast and seamless vehicle identification. The identification can be used to grant vehicles access or find and track specific vehicles.
- Cost-Efficiency: The precise and fast number plate recognition doesn’t rely on human input. Large numbers of license plates can be analyzed very quickly, making it a very efficient method to identify vehicles. Hence it drives cost-efficient governance and reduces waiting times.
- Low Footprint: An automated numberplate recognition system is relatively cost-effective to install and operate. A wide range of cameras is suitable for ANPR.
- Scalability: The use of emerging technologies such as IoT (or AIoT ) and machine learning at the Edge (Edge AI) enable the development of distributed systems. Edge computing makes it possible to implement offline capabilities and private and cost-efficient video analytics required for ANPR.
- Convenience: ANPR is usually integrated with other IT systems and operates in an ecosystem to provide a seamless and hassle-free experience to the end-users. Hence, the technology is used to enhance the customer experience for the end-users. Hence, the technology is used to enhance the customer experience and offer new services and products, such as automated parking payments.
- Versatility: Automated vehicle identification can be applied for a variety of applications, from parking management to security, traffic enforcement, logistics optimization in manufacturing, and so on.
- Security: ANPR solutions are of great importance for various security and surveillance applications of computer vision. Such systems help improve security by providing a method to identify and track multiple vehicles autonomously.
- Environmental benefits: The use of an ANPR system can help reduce traffic congestion and pollution by discouraging unnecessary driving. Reducing waiting times, or time to search for parking spaces in cities helps decrease the environmental population.
What’s Next?
ANPR is a crucial AI vision technology that offers many advantages for various applications. The benefits of ANPR are wide-ranging and include traffic management, retail park security, toll booth records, and journey time analysis. As such, it’s no wonder that ANPR has become so popular in recent years, the global automatic number plate recognition market is rapidly growing, and we see disruptive ANPR projects across industries such as transportation, logistics, security, smart city, construction, and the public sector.
If your organization is looking to take advantage of this powerful technology, be sure to get in touch with us. We offer a comprehensive computer vision platform that provides everything you need to build an enterprise-level ANPR system.
Frequently Asked Questions
1. What are some other acronyms for LPR cameras?
Various acronyms can be used to refer to a number plate recognition camera or a license plate reader camera. There may be differences in the underlying technology and capability as well as differences depending upon the preferred terminology of the provider. Because of this, they may not be interchangeable, but the following are some of the acronyms commonly used to describe a CCTV camera with license plate recognition:
- LPR camera: License Plate Recognition Camera.
- ANPR camera: Automatic Number Plate Recognition Camera.
- ALPR camera: Automated License Plate Reader Camera.
- NPR camera: Number Plate Recognition Camera
2. what’s the difference between a License Plate Recognition (LPR) and an Automatic Number Plate Recognition (ANPR) camera?
In practice, the terms License Plate Recognition (LPR) and Automatic Number Plate Recognition (ANPR) generally mean the same thing. Different providers may characterize their products slightly differently, but you will often see them used interchangeably.
3. What kind of camera is best for LPR?
LPR cameras are usually high-resolution bullet or PTZ cameras. Bullet cameras provide a fixed view with powerful zoom capabilities to capture plates at a distance. PTZ cameras allow operators to pan, tilt, and zoom in on plates are needed.
4. Do LPR cameras work at night?
Yes, License plate recognition cameras use IR illumination to effectively read plates 24/7, even in low light or total darkness. IR illuminators attached to the camera provide infrared light invisible to the human eye.
5. Is LPR legal everywhere?
LPR legally depends on local, state, and national laws. It is legal in most public places in https://www.mrmtech.in/?s=License+plate&post_type=productINDIA but restrictions apply to persistent tracking of individuals without cause. Users must check relevant privacy regulations.
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