Vehicle detection is a method or process to track, detect, and identify vehicles when they are moving or getting into a parking slot. A vehicle detection system with integrated vehicle detection cameras works on computer vision and optical character recognition technologies. Such a system is usually a part of ITS or ITEMS.
The first one is background subtraction methods. This method relates to the extracting of moving foreground objects from the generated background frame or stored image. It also includes image differencing to get the expected information.
The second approach is feature-based methods. Through this method, experts investigate sub-features such as corners and edges of vehicles from the stored or generated data. Further. It facilitates the occlusion handling between the overlapping vehicles.
The 3rd approach for vehicle detection is motion-based and frame differencing methods. It relates to the subtracting process of two subsequent frames in an image series to differentiate the moving object from the background frame image. Motion segmentation is also a basic step in detecting stable or moving vehicles through the analysis of generated/stored data.
As a part of the intelligent traffic management system (ITMS), it has its own unique features. The following is a list of some of those distinguishing characteristics:
- Vehicle occupancy and counting/number
- Information on red light violation
- High resolution for better image quality and clarity
- Adjustment of traffic light
- Easy to install and maintain
Why is using a vehicle detection system important?
Using vehicle detection systems is highly beneficial. With its proper usage, the concerned authority can detect, track, identify, and seize stolen vehicles. In the cases of disobeying traffic rules such as red light violations, traffic police can easily detect vehicles and their respective owners for penalties. Planning traffic on particular days and times becomes more convenient.
