Application device for traffic camera traffic information acquisition based on image identification

Abstract

Provided is an application device for traffic camera traffic information acquisition based on image identification. The application device comprises an image acquisition module, a digital image processing module, a data transmission module and an electronic map display module four parts. The image acquisition module is used for collecting vehicle image information through traffic cameras arranged at the entrance and the exit of a target road section; the digital image processing module is used for converting the received vehicle image signals collected by the image acquisition module into digital signals through a virtual coil; the data transmission module is used for transmitting the digital signals obtained through conversion of the digital image processing module in a wireless manner; and the electronic map display module receives the signals transmitted by the data transmission module through a receiver, and displays information of on-road vehicles on an electronic map in a dot matrix manner. The device realizes analysis and processing of real-time traffic information collected by the cameras by adopting a dynamic image processing method and utilizing algorithms of virtual coil and the like, and allows the traffic information to be visually displayed on the electronic map.

Description

technical field [0001] The invention relates to a monitoring device for traffic flow, in particular to an application device for collecting traffic camera road condition information based on image recognition. Background technique [0002] In recent years, with the continuous increase of the number of vehicles, road congestion has become increasingly prominent. Especially in rush hours, route selection is particularly important, and smooth driving route selection can save a lot of valuable time. From this point of view, when traveling by car, real-time and accurate road condition information becomes a must for drivers. [0003] At present, the methods of real-time road condition information obtained by major electronic maps or navigators include floating cars, ground induction coils, and fixed-point reports by special personnel, which are not accurate and cannot meet the needs of drivers. In the field of intelligent transportation, there are many and mature studies on traf...

AI Technical Summary

Problems solved by technology

[0003] At present, the methods of real-time road condition information obtained by major electronic maps or navigators include floating cars, ground induction coils, and fixed-point reports by special personnel, which are not accurate and cannot meet the needs of drivers.

In the field of intelligent transportation, there are many and mature studies on traffic flow statistics based on image recognition, but few of them can accurately convert the statistics of traffic flow into real-time traffic density, and the research on applying it to electronic navigation is even more very few

On the other hand, the display of real-time traffic conditions in electronic navigation that is now widely used is divided into road congestion by color levels, which is not intuitive, resulting in very little use of the function of real-time traffic display.

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