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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. NeuroCar is your reliable tool for data collection, evaluation, and cross check based on neural networks. NeuroCar Vehicle Counting Automatic vehicle detection using loop inductors A system for automatic detection and classification of vehicles using embedded loop inductors in the road surface. Based on this signature, the length of the vehicle and the distance to the preceding vehicle are also estimated.
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The system consists of a CPU processing unit and a set of cameras simultaneously observing the front and rear of the vehicle. 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. The system solely relies on cameras, identifying authorized vehicles based on their license plate numbers. With the help of cameras watching the crossing, the system detects and identifies vehicles within the crossing. Pre- Qualification Questionnaire. Frequently Asked Questions. 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. More information can be found on the Google Analytics, Meta Pixel and Dotdigital websites, and Google's, Meta Pixel's and Dotdigital's privacy policies also cover their respective analytics services. 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. Search in courses only. Regulatory Information. NeuroCar Indoor Parking 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.
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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. Upcoming Events. We suggest either Chrome or Firefox. Regulatory Information. Looking for Change Preferences Accept All. Search in courses only. 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. Data from the sensors are transmitted wirelessly to a cloud-based central application. We'd also like to set optional analytics cookies to help us improve it. We use necessary cookies to make our site work. More information can be found on the Google Analytics, Meta Pixel and Dotdigital websites, and Google's, Meta Pixel's and Dotdigital's privacy policies also cover their respective analytics services. Reject All Accept All. Search Area: Search entire website. Parking: Parking management software.
Also what in that case it is necessary to do?