Neurosoft ® - Artificial Intelligence in Traffic
NeuroCar product line offers a wide range of solutions for road safety and traffic management. New deep learning tools that use cameras, lidars, radars and other sensors to recognize objects (people, cars, buses, trucks, bicycles, motorcycles, traffic lights), their parameters (profile, speed, direction, weight, etc.) and characterize how those objects move and interact. NeuroCar is your reliable tool for data collection, evaluation, and cross check based on neural networks.
Innovations
NeuroCar Park
NeuroCar
NeuroCar Park is a highly accurate multi-sensor parking system for determining occupancy of parking spaces in a fully automatic manner. The system combines multiple inputs from video cameras and/or 3D laser scanners assuring very high level of precision. It contributes to a better utilization of available parking spaces, improves infrastructure management and increases safety level of car parks.
NeuroCar
NeuroCar Park is a highly accurate multi-sensor parking system for determining occupancy of parking spaces in a fully automatic manner. The system combines multiple inputs from video cameras and/or 3D laser scanners assuring very high level of precision. It contributes to a better utilization of available parking spaces, improves infrastructure management and increases safety level of car parks.
Products
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NeuroCar Vehicle Counting
Automatic vehicle detection using loop inductors
Automatic vehicle detection using loop inductors
A system for automatic detection and classification of vehicles using embedded loop inductors in the road surface. The system detects the presence of a vehicle in the measurement field and determines its magnetic signature, which is used to identify the type of vehicle (according to the TLS 8+1 classification), its speed, direction of movement, and lane. Based on this signature, the length of the vehicle and the distance to the preceding vehicle are also estimated.
NeuroCar Weigh-in-Motion
Detection and weighing of vehicles in motion
Detection and weighing of vehicles in motion
System for automatic detection and weighing of vehicles in motion. The system utilizes a special arrangement of sensors (inductive loops, pressure sensors) installed in the road surface. This arrangement is designed in such a way that vehicles can be weighed without the need to stop or slow down – they can travel at normal driving speed. As a result, the system can be installed on public roads and is capable of monitoring the weight of each passing vehicle.
NeuroCar RedLight
Red light violation detection system
Red light violation detection system
System for automatic detection and penalization of offences committed by drivers of vehicles who fail to stop at a red light. The system consists of a CPU processing unit and a set of cameras simultaneously observing the front and rear of the vehicle. The moment of offense is considered when the vehicle’s front crosses the conditional stop line or the main traffic signal line while the signal is displaying red. Both the signal state and vehicle detection on the line are solely based on video stream analysis
NeuroCar Vehicle Identification
ANPR-based vehicle detection and identification
ANPR-based vehicle detection and identification
System for automatic detection and identification of vehicles based on license plate recognition (ANPR) and manufacturer and model version recognition (MMR). The system operates using only the video stream from a camera positioned at the front or rear of the vehicle. It automatically detects the presence of a vehicle in the video stream and generates a complete description of the vehicle – timestamp, license plate number, country of origin, color, make, and model version. The result also includes a selected
NeuroCar FLOW Camera 3
Intelligent camera designed for image processing
Intelligent camera designed for image processing
An intelligent, compact camera designed for image processing in edge computing applications. The camera features a built-in processor, local storage, and various communication interfaces, making it an excellent platform for IoT applications where an intelligent sensor needs to process visual data. The camera includes a built-in video recorder and an embedded astronomical clock (for sensitivity adjustment). An additional neural processing unit (NPU) can also be connected to the camera.
NeuroCar Spots Parking
Measurment and visualization of parking occupancy
Measurment and visualization of parking occupancy
System for measurement and visualization of occupancy in urban parking lots, operating by determining the availability of individual parking spaces. Magnetic parking sensors embedded in the pavement or intelligent IoT cameras mounted on existing structures (e.g., lighting poles) can be used for vehicle detection. Data from the sensors are transmitted wirelessly to a cloud-based central application. After processing the data, this application provides them in the form of an interactive map.
NeuroCar Access Control
Controlled entry of vehicles into an area
Controlled entry of vehicles into an area
System for controlling the entry of vehicles into a secure area, which utilizes license plate numbers for identification. The system is installed at the entrance gates and consists of a camera, a computer, and control software for opening the barrier. The barrier opens automatically upon detecting a vehicle entering with a license plate number that is on the list of authorized vehicles.
NeuroCar Restricted Area
Restricted area entry recognition
Restricted area entry recognition
An access control system for a restricted area that is designed to automatically detect vehicles without authorization. The system solely relies on cameras, identifying authorized vehicles based on their license plate numbers. Upon detecting an unauthorized vehicle, the system promptly generates a notification and documents the event in the form of a digital violation record. The definition of authorization allows for the input of not only the license plate number but also other vehicle characteristics.
NeuroCar Traffic Monitoring
Measurement and visualization of traffic
Measurement and visualization of traffic
System for measurement, monitoring, and visualization of vehicle traffic. The system utilizes ANPR cameras connected to a cloud-based central application. The cameras perform license plate identification as well as classification into four categories (passenger car, delivery van, truck, bus), estimation of current speed, direction of movement, and recognition of the vehicle’s country of origin. As a result, the system is capable of calculating both traffic volume and directional structure (flows).
NeuroCar Indoor Parking
Indoor parking occupancy system
Indoor parking occupancy system
System detection and visualization of indoor parking lot occupancy, operating on the principle of detecting the occupancy of individual parking spots. The system is designed for operation in indoor environments (garages in buildings). IoT smart cameras are used to detect vehicles, which can also identify each vehicle – by recognizing its license plate. Data from the detectors is sent in real time to a central system, where it is processed and statistically validated.
NeuroCar Trucks Parking
Measurement of occupancy of truck parking lots
Measurement of occupancy of truck parking lots
System for measuring and visualizing the occupancy of truck parking lots, operating on the principle of accumulating the arrivals and departures of vehicles. The system is adapted for operation at highway parking lots. The key element of the system is a special set of sensors (cameras and lidars), for vehicle detection, determination of its type (truck, bus, van, passenger car with trailer, passenger car, motorcycle), direction of motion and information allowing re-identification.
NeuroCar Block Parking
Trucks parking management system
Trucks parking management system
System for managing parking for trucks, which optimizes parking space utilization to maximize its capacity. The optimization involves arranging vehicles in blocks (queues), one behind the other, which can increase the parking capacity by up to 50%. The key task of the system is to acquire information from drivers about their planned parking duration and then indicate the queue where a particular vehicle should park to avoid being blocked during departure.
NeuroCar Spot Speed Control
Spot-speed measurement system
Spot-speed measurement system
System for automatic vehicle spot-speed measurement and detection of speed limit violations in a given location. The system consists of a stationary speed camera and an interface device that serves as a data analyzer (Automatic Number Plate Recognition – ANPR), protocol converter, and enables communication with the central system. The system operates autonomously in a 24/7 mode, and the evidence of violations captured by it is encrypted, digitally signed, and promptly transmitted to the central system.
NeuroCar Section Speed Control
Average speed of vehicle on a road section
Average speed of vehicle on a road section
System for measuring the average speed of a vehicle on a section of road. The system uses interconnected cameras (ANPR) installed at the beginning and end of the section. Thanks to the cameras, each vehicle is classified (passenger, truck) and identified, both at entry and exit, and the identification information is accompanied by precise time signatures along with the travel time. The distance driven by the vehicle is determined with a high accuracy.
NeuroCar Red Light Railway
Detection of railway crossing red light violations
Detection of railway crossing red light violations
System for automatic detection and penalization of violations committed by drivers who fail to stop at a red light, adapted for railway crossings. The system consists of a CPU processing unit and camera units simultaneously observing the front and rear of the vehicle. The moment of violation is considered when the vehicle’s front crosses the conditional stop line while the signal is displaying red. Both the signal state and vehicle intrusion detection onto the line are exclusively based on video.
NeuroCar Railway Crossing
Safety at railroad crossings
Safety at railroad crossings
System for monitoring safety at a railroad crossing. With the help of cameras watching the crossing, the system detects and identifies vehicles within the crossing. At the same time, the system automatically detects the status of the traffic signal by analyzing the video stream – when a red phase is detected and a vehicle is identified at the crossing, the system automatically generates an alarm.