Blacklist distributed identification method and blacklist distributed identification device

Abstract

The invention discloses a blacklist distributed identification method and a blacklist distributed identification device. The method comprises the following steps: mapping a blacklist into a bit diagram and issuing the blacklist to a front end device; identifying a license number by the front end device, converting the license number into a hash value by a hash algorithm, and dividing the hash value by the length of the bit diagram so as to obtain the corresponding remainder; then judging whether the position of the bit diagram corresponding to the remainder is 1 or not, so as to remove license numbers not in the blacklist; sending suspected license numbers to a rear end server, and comparing with the license numbers in the blacklist to alarm finally. The invention also discloses a device for implementing the method. The method and the device which are provided by the invention are used for removing most license numbers not in the blacklist, effectively reducing the workload of the rear end server, and improving the service performance of the rear end server greatly.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, in particular to a blacklist distributed identification method and device for a license plate blacklist in video monitoring. Background technique [0002] With the advent of the automobile age, the intelligent traffic management system is the development trend of the world's road traffic management. The continuous development of highway traffic infrastructure and the continuous improvement of vehicle management system have laid a good foundation for the practical application of intelligent traffic management system based on video surveillance. In the intelligent traffic management system, in order to severely crack down on some illegal activities, many systems have established blacklists to enter the license plate numbers of those illegally operating, fake license plates, stolen vehicles, traffic hit-and-run vehicles or other problematic vehicles into the system In the blacklist of the ...

AI Technical Summary

Problems solved by technology

Obviously, the existing technical solutions have high requirements for the back-end server. The centralized processing makes the back-end server process a large amount of information, and the back-end server has a heavy burden. If the back-end server has poor processing ability, it will not be able to complete such frequent calculations.

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