To solve the control tasks of restricting access of unwanted transport to service parking lots, to the area of unloading goods, fixing the time of the vehicle being in the controlled territory, and investigating incidents, the system of automatic reading and recognition of license plates is used.
At sites equipped with license plate recognition, cameras monitor the movement of vehicles and transmit information to the control center.
The recognition system automatically detects a vehicle, locates the license plate, and recognizes the license number. It works with a wide range of vehicles, including cars, motorcycles, vans, and trucks. The numbers are recognized by some angle qualities due to a huge variety of sample frames that have been used to train the neural network.
Video analytics of license plates provides accurate data on the number of cars in a supermarket parking lot. For each vehicle, you can see how long it stayed. For each of them you can see the time of stay in the parking area.
Marketing and administration of gas stations uses a system of video analytics of car numbers to obtain data and analyze information about cars that regularly pass by and the ratio of those who come to the gas station.
Integrated system with security complexes, including SCU and OPS equipment — barriers, gates. Supports logging, formation of detailed reports, hierarchical classification of recognized autonomous numbers by groups.
The cameras collect the video stream from the vehicles in the surveillance zone. Neural network analyses the frames from the video and highlights the areas where the license plates are located. The neural network is used to recognize symbols and license payments.
The system integrates with security infrastructure and access control systems. It can manage vehicle access to parking lots, gated areas, or private territories. 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. This allows for automation of access and event logging.
The collected information can be used for various purposes: controlling access, managing parking lots, or supporting law enforcement.
1. R-type video surveillance cameras – specialized cameras equipped with license plate recognition technology, capturing video of approaching vehicles.
2. License plate recognition software - designed for automatic image analysis, identification and recognition of vehicle numbers.
3. A data storage and processing system includes an infrastructure for storing a large amount of video data, as well as mechanisms for its processing and subsequent use.
4th. User Interface- software that provides a user-friendly interface for users. It can be a web panel or an application that allows monitoring and interaction with the system.
5. Integration with other systems - the ability to collaborate with other systems in control of security or access, as the system for controlling gates a barrier.
With the help of neurovideo analytics technology, automated license plate recognition systems reveal a wide range of applications. No,. This helps to increase the level of safety on the roads and the optimal use of transport infrastructure.
One of the key advantages of automatic license plate recognition is the speed and accuracy of the process. Thanks to neurovideo analytics, systems can process a large stream of data in real time, quickly recognize license plates and compare them with databases. This ensures a quick response to negative events such as car thefts or traffic violations.
• Recognition of 98% of numbers at vehicle speeds up to 150 km/h
• Determination 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.
We provide a full cycle of work, from the analysis of technical requirements to the configuration of the system. We not only design and install equipment, but also provide service services for continuous operation of the system after implementation.
Our team of engineers operates throughout Ukraine, which makes it possible to order equipment, software and implementation according to a single standard and pricing for different regions.
For more than 20 years in the Ukrainian IT market, we have been successfully implementing automation and video analytics systems tailored to specific business needs. 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.
In our projects, we use advanced video analytics software platforms such as Vezha and Luxriot to create comprehensive and tailored solutions. These platforms represent state-of-the-art technologies in the field of video security and offer a wide range of features for video data analysis. Their capabilities include face recognition, motion detection, traffic analysis, and other functionalities that help develop effective solutions to meet specific customer needs.
Contact us to learn more about our solutions and projects
