A Vehicle Overcrowding Analysis System Based on Vehicle Terminal Information Matching

Abstract

The invention proposes a vehicle overcrowding analysis system based on vehicle terminal information matching. In the present invention, the vehicle license plate information on the expressway collected by the image recognition unit, the communication collection unit collects user terminal information on the vehicle, the site information collection unit collects site information, and the wireless transmission unit sends the license plate information, user terminal information, and site information to The central server; the central server searches for the number of people in the vehicle according to the license plate information; builds the license plate matrix at the time of the site, marks the rows and columns of the same elements in the matrix, and obtains the actual number of passengers on the vehicle through intersection matching, and the central server according to the vehicle. The actual number of passengers and the number of verified passengers will be given an early warning. The invention has high resource utilization rate, wide vehicle inspection range, does not affect traffic, can issue an overcrowding warning in real time, significantly improves the response speed of law enforcement personnel, stifles traffic accidents in the bud, and reduces traffic accidents and personnel and property losses caused by vehicle overcrowding .

Description

technical field [0001] The invention belongs to the technical field of traffic monitoring, in particular to a vehicle overcrowding analysis based on vehicle terminal information matching. Background technique [0002] The existing technology installs a vehicle-mounted terminal, and judges the actual number of people in the vehicle through face recognition; by setting checkpoints, law enforcement officers manually check the actual number of people in the vehicle. However, the existing technology requires the installation of vehicle-mounted terminals and related hardware devices for face recognition on the target vehicle. The construction cost and maintenance cost are high, the cycle is long, the coverage is not wide enough, and there are dead spots in the camera equipment; and the existing technology needs to set checkpoints. , manual inspection by law enforcement officers. High labor costs, limited human resources, low inspection efficiency, randomness, and easy congestion ...

AI Technical Summary

Problems solved by technology

However, the existing technology requires the installation of vehicle-mounted terminals and face recognition-related hardware devices on the target vehicle. The construction cost and maintenance cost are high, the cycle is long, the coverage is not wide enough, and there are dead spots in the camera equipment; and the existing technology needs to set checkpoints. , manual inspection by law enforcement officers

High labor costs, limited human resources, low inspection efficiency, randomness, and easy congestion during peak hours;

Images