Video analytics for license plate recognition is an innovative technology based on artificial neural networks that allows you to automatically detect and identify license plates on video recordings in real time.
Intelligent car number recognition is an important component of the video surveillance system, which provides effective traffic control. The car number detector in combination with cameras provides an opportunity to order and configure an optimized access control system.
The car number detector is based on the ability of neural networks to analyze and understand geometric patterns and symbols. It allows video surveillance systems to automatically highlight license plates on video recordings, recognize and read them. This greatly simplifies the process of controlling transport, finding stolen or wanted cars, and detecting offenses.
The cameras collect the video stream from vehicles in the surveillance zone. The neural network analyzes the frames from the video and highlights the areas where the license plates are located. The selected areas of the image can be processed to improve image quality and make the license plates more visible for further analysis. The neural network is used to recognize symbols on license plates.
The car number recognition system uses high-precision methods to automatically detect and clearly recognize license plates on different exhaled vehicles. This is achieved thanks to the large number of diverse images used to train the system, which allows it to recognize numbers effectively even with altered lighting conditions or shooting angles.
The recognition results are compared with a license plate database to identify the vehicle.
The information obtained can be used for various purposes, including traffic control, safety, vehicle tracking, etc.
1. Cameras with license plate recognition
2. License Plate Recognition Software
3. Data storage and processing system
4. User interface
5. Integration with other systems
6. If necessary - notification and management system
Thanks to neurovideo analytics, automatic license plate recognition systems can be used for many purposes. They help collect traffic data, provide control and regulation of traffic on the roads, speed and compliance with traffic rules. This contributes to improved road safety and efficient use of transport infrastructure.
One of the main advantages of automatic license plate recognition is the speed and accuracy of the process. Neurovideo analytics allows you to process large amounts of data in real time, quickly recognize license plates and compare them with databases. This ensures a quick response to unwanted events, such as carjackings or traffic violations.
The car number is a kind of key for entering the territory, so it must be fixed and saved, which the number recognition system can do automatically. This approach will not only simplify the control of the entrance to the protected area, but also eliminate the formation of congestion at the exit. In addition, the numbers entered into the base, upon further entry to the perimeter, will be automatically recorded by the camera from a distance of ten to fifteen meters, after which the system will send a signal to open the gate or raise the barrier.
Parking lots for customers of shopping centers, supermarkets, hotels, shops, restaurants, banks. Accounting for the movement of vehicles near commercial facilities. Access control at protected facilities such as enterprises, offices and industrial areas.
The advantages of such a system for parking lots include automation of parking space management, eliminating the need for physical entry/exit tickets, the ability to accurately track parking time. This simplifies the life of parking users and allows efficient use of the parking space.
When the car leaves, the camera records its number, and the system records the time of departure. If a fee is charged at the parking lot, the system automatically calculates the time and cost of parking. The user can receive payment notifications through the mobile application or automatically make payment upon departure.
Accounting and control of the entry/exit of cargo vehicles in warehouses and logistics centers. Tracking of transported goods and transport.
Automatic license plate recognition has great potential in logistics and fleet management. With this technology, companies can track and control the movement of their vehicles, improving delivery efficiency, reducing downtime and reducing costs.
Car number recognition systems in parking lots provide automated control of the entry, exit and placement of cars.
Number recognition systems in industrial enterprises are used to ensure security, control and optimization of logistics. These systems allow you to automate the registration of the entry and exit of vehicles, identify and track transported goods, as well as identify vehicles that have a permit on the territory of the enterprise. As a result, the efficiency of logistics processes increases and security is ensured on the territory of the industrial facility.
Automatic license plate recognition using neuroanalytics is an important step in improving safety and traffic control. It provides fast and accurate license plate recognition, which contributes to effective traffic management, the search for stolen cars and the prevention of crime.
Facilities with a high level of security, such as government institutions and important infrastructure facilities.
The use of number recognition systems on objects of strategic importance is associated with an increase in the level of security and access control. Specialized cameras can automatically recognize vehicle numbers and enter them into the monitoring system. This allows the identification of vehicles that have access to the facility and to track potentially suspicious or unauthorized entrances.
• Recognition of 98% of numbers at vehicle speeds up to 150 km/h
• Identification of car numbers with Ukrainian and European Union numbers
• Fixing all cars without exception
• Integration with video surveillance
• Easy installation and setup
• Ability to access the system from any browser
• The ability to integrate with systems controlling access to the territory - for the gate, for the barrier, etc.
The module is easy to control, it is fully automated and does not require manual control. The operator's monitor displays an image of a video camera that records the passage of cars and their license plates. Detection of an unknown car number leads to blocking the entrance and receiving a signal by the operator about the presence of third-party vehicles. Then a decision is made to let the car into the territory or inspect it with a check of the available documentation.
The presence and configuration of a car number detector will allow large organizations and enterprises to significantly increase the level of their own security, because almost all of them have parking lots and parking lots for their employees, on which it is necessary to restrict travel for third-party cars. The implementation of this automated system will allow these plans to be implemented with minimal staff involvement.
We provide a full cycle of work: from the analysis of technical requirements to the configuration of the system. We design, supply and install the equipment, and after implementation provide service for the smooth operation of the system.
We work all over Ukraine. Our team of engineers works throughout Ukraine, allowing you to order hardware, software and implementation according to a single standard and pricing for different regions.
With 20 years of experience in the IT market of Ukraine, we implement video analytics systems that successfully function in leading retail networks, guaranteeing reliability and quality of work.
Our approach is based on a deep understanding of the client's needs and the desire to provide integrated and efficient solutions in the field of video surveillance and analytics.
VERNA uses advanced video analytics software complexes such as Vezha and Luxriot to create unique and complete solutions for customers.
Vezha and Luxriot introduce the latest technology in the field of video surveillance, providing a wide range of functions for analyzing video data. These products have a wide range of video analytics capabilities, including face recognition, motion detection, traffic analysis, and other features that help create effective solutions to address customer needs.
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