A method and system for real-time monitoring traffic in a predetermined location; the system comprising: an image capture unit arranged for capturing a pixel image of traffic in the predetermined location; a processor arranged for: identifying and classifying the or each object within the image via a neural network process using the pixel data to generate an object type; determining a location co-ordinate for the or each object type; linking the or each object with corresponding objects in subsequent or preceding frames; creating an array of object type and location co-ordinates over time; a communications unit arranged for communicating the array of object type and location co-ordinates with an end user; and a feedback unit arranged for producing a representation of the object type and location co-ordinates to enable the end user in use, to determine information relating to the traffic in the predetermined location.

Disclosed is a vehicle identification method and system. The method includes: acquiring appearance information of an inspected vehicle; obtaining external features of the vehicle based on the appearance information; acquiring a transmission image of the vehicle and obtaining internal features of the vehicle from the transmission image; forming descriptions on the vehicle at least based on the external features and the internal features; and determining a vehicle model of the vehicle from a vehicle model databased by utilizing the descriptions. This method merges various types of modality information, especially introducing the transmission image, and combines the internal structure information with the appearance information, so that the present disclosure can identify a vehicle model more practically.

The present disclosure relates to a stereoscopic sensor comprising: a first camera pair for capturing a first and a second image wherein the stereoscopic sensor is adapted to monitor and define a main surveillance zone in a surveillance plane at a predetermined distance from the stereoscopic sensor, said main surveillance zone comprising a first and a second surveillance zone and the first camera pair defines a first surveillance zone with a primary coverage in a first direction and a secondary coverage in a second direction wherein the stereoscopic sensor further comprises a second camera pair for capturing a first and a second image, said images being processable into a height image.

The present disclosure relates to a stereoscopic sensor comprising: a first camera pair for capturing a first and a second image wherein the stereoscopic sensor is adapted to monitor and define a main surveillance zone in a surveillance plane at a predetermined distance from the stereoscopic sensor, said main surveillance zone comprising a first and a second surveillance zone and the first camera pair defines a first surveillance zone with a primary coverage in a first direction and a secondary coverage in a second direction wherein the stereoscopic sensor further comprises a second camera pair for capturing a first and a second image, said images being processable into a height image.

A parking objects or vehicles detection system performs vision-based parking inventory management by monitoring live vehicle ingress and egress traffic and communicating to a backend server changes in instances of vehicle parking events.

A method for traffic monitoring for a monitoring location. The method has a step of outputting a display signal to a user interface. The display signal displays at least one image symbol, relating to at least one configurable parameter of the traffic monitoring, in a combined overview for the monitoring location via the user interface. The at least one image symbol can be influenced by gestural interaction with a user in order to configure the at least one configurable parameter. The method also includes reading in a user input signal from the user interface. The user input signal represents an input by the user, made by gestural interaction with the at least one image symbol and recognized by gesture recognition, to configure the at least one parameter. The method configures the at least one configurable parameter depending on the user input signal in order to set up traffic monitoring.

An electronic device according to various embodiments disclosed in this document may include a first communicator supporting V2X communication, a controller, and a memory, wherein the memory stores instructions which, when executed, cause the controller to: receive at least one V2X message through the first communicator; determine whether to capture an image, based on the at least one V2X message; in response to the determination to capture the image, determine a region of interest, based on the at least one V2X message; obtain an image including the determined region of interest, through at least one imaging device electrically connected to the electronic device; identify an object included in the obtained image; match the identified object with the at least one V2X message; and generate an image with which the at least one V2X message matching the identified object is combined. Other various embodiments are possible.

A station for the integrated monitoring of environment and traffic comprises a local unit (2) adapted to be positioned at an area to be monitored and comprising first means (10) for collecting first data (D1) relative to the concentration of pollutants in the air, second means (11) for monitoring the traffic flow in the monitored area and for collecting corresponding second data (D2), a data processing unit (13) adapted to receive the first data (D1) and the second data (D2) for the correlation thereof and for generating information relative to the traffic and to the air quality in the monitored area in a predetermined time period, third means (12) for collecting third data (D3) relative to the weather condition in the monitored area adapted to be transmitted to the data processing unit (13).

A station for the integrated monitoring of environment and traffic comprises a local unit (2) adapted to be positioned at an area to be monitored and comprising first means (10) for collecting first data (D1) relative to the concentration of pollutants in the air, second means (11) for monitoring the traffic flow in the monitored area and for collecting corresponding second data (D2), a data processing unit (13) adapted to receive the first data (D1) and the second data (D2) for the correlation thereof and for generating information relative to the traffic and to the air quality in the monitored area in a predetermined time period, third means (12) for collecting third data (D3) relative to the weather condition in the monitored area adapted to be transmitted to the data processing unit (13).

A method for contact-free axle counting of a vehicle on a road, including a step of reading in first image data and reading in second image data, wherein the first image data and/or the second image data represent image data provided to an interface by an image data recording sensor arranged on a side of the road. The first image data and/or the second image data comprise an image of the vehicle. The first image data and/or the second image data is processed in order to obtain processed first image data and/or processed second image data. By using the first image data and/or the second image data in a substep of detecting, at least one object is detected in the first image data and/or the second image data, and wherein object information is provided representing the object and assigned to the first image data and/or the second image data.