An automated and intelligent system that calculates road traffic to tracks and report some natural and unnatural events that have occurred. The difference between this system is intelligence and processing data at the camera (station) installation site. One of the special advantages of this system is displaying the status of the route and reporting the status in each station or installation location of each camera. In addition to the camera, processing and control circuits, each station has a monitor to display the processed output of the previous or subsequent stations, so the information of the front station, which is installed at a distance of 10 to 50 km, can be seen and vehicles can know about the road and traffic situation. The analyzed parameters are blockages, accidents, fires, Fog, Floods, earthquakes, landslide, rainfall intensity, and the diagnosis of road surface frost. Using intelligent systems, it is possible to predict rainfall in future or forecast traffic on the route according to the entry and exit of vehicles.
Please watch the introduction clip here -> See Clip
Some of the main members who collaborated in the construction of this project.
Hakim Sabzevari University
with DANCING GUY
This system has several parts that are directly related to each other and together will be able to provide excellent services online, these parts include the following.
The system is designed with urban and intercity applications to display the online status of all available routes, so that by installing it in the route and intersections, information related to the status of the before and after panels can be seen in each panel. The system has intelligent detection using image processing and neural networks to identify specific parameters that can be mentioned as follows
For receiving images and initial and fast processing, an electronic board is considered, whose task is to analyze the images received from the camera and process it quickly, and if the symptoms of any of the stated events or events that block the signal path are detected, a signal will be sent. In this project, which has been launched as a demo, a Raspberry Pi Series B board with a logo processor has been used..
This system is designed in such a way that, online and without delay, you can observe the traffic and blockage of urban and intercity routes, and select the traffic route according to that. In this system, there are stations at a distance of about 10 to 100 km, on each of which, solar panels and required equipment, including cameras, image receiving and analyzing circuits, data transmission systems, as well as systems Circuit feeding is installed. The equipment installed at each station will be able to use image processing systems, artificial intelligence as well as positioning information such as traffic volume, accidents, fire, flooding, flood, road blockage, earthquake, road surface frost, fog. Identify and record road breakdowns, mountain falls, and any other event that changes the normal course of traffic. This data is also sent to other stations so that other stations are aware of its status.
Please watch the Description clip here -> See Clip
Suppose a flood blocks a road in an area. Our system analyzes and detects road closures (Intelligently with a Variety of Image Processing Techniques and Artificial Intelligence) and provides blocking information to other nearby stations (Distance of 10 to 100 km per panel depending on geographical location). And radio Systems) are installed. This information is sent simultaneously to the central station so that it can send precautionary measures or relief aid to the scene of the accident. In addition, vehicles traveling on this route can be informed of the situation ahead and make decisions accordingly.
List of Some Benefits of the Plan: