Illegal Parking Detection Using Video Surveillance

Why Video Surveillance is necessary in Transport Monitoring System?

With the increasing population and the number of vehicles, the challenges at roads are also increasing. They make it challenging to handle vehicular congestion and suspicious activity. The cases of accidents are also increasing. It has become difficult for the road monitoring authority to keep track of everything.

Solutions for Video Surveillance in Transport Monitoring

Government and road management authorities have started using Artificial Intelligence and video surveillance to reduce road incidents and make the road safer. The video surveillance systems not only track the moving objects but should interpret their patterns of behaviors. It determines the preconditions of mishappening and thus alerts the system to resist the mishappenings.

Predictive Analytical Process- Illegal Parking Detection

AI-based Illegal Parking Detection system will detect the vehicle. If a car is above a parking spot and the distance between them is less than 50 pixels, the location is parked.

Otherwise, if a vehicle stops for more than 5 seconds and is not in the designated parking spots, it is considered illegal parking.

Illegal Parking Detection Dashboards

This Sample Predictive Illegal Parking Detection analytics dashboard shows the concerned department can see the number of illegally parked vehicles and vehicle types in different areas. The organization also gets information on empty parking spaces for particular regions.

End Customer Value

Here every tracking and vehicle detection will be covered in the system. The system is not getting the only single type of authorization; initially, the system will determine the vehicle classification, parking status, oversized vehicle, and object detection. After that, the system will detect dangerous driving and Pedestrian/cyclist monitoring also.

Why XenonStack?

By clicking on the demo button, one can send a demo request; we gives the demo on the video analytics in the transport monitoring system to detect the vehicles on the road by using the machine learning model. The organization will get insights related to illegal parking detection on the roads. As for this for reference, the demo dashboards; from there, the results are generated from our machine learning model. Our ML model will provide you with an accurate solution for computer vision.