Electronic police system light supplementary lamp fault detecting method based on image abnormities

Abstract

The invention discloses an electronic police system light supplementary lamp fault detecting method based on image abnormities. Based on vehicle images captured by high-definition cameras of an electronic police system and vehicle license plate identification, the vehicle flow rate and the vehicle license plate identification rate in a unit time frame are calculated, the vehicle flow rate and the vehicle license plate identification rate in the unit time frame are compared with the normal vehicle flow rate and the normal vehicle license plate identification rate of the same time frame, whether the vehicle detection and the vehicle license plate identification on lanes are abnormal or not is judged, whether light supplementary lamps are abnormal or not is judged according to set threshold values of the vehicle flow rate and the vehicle license plate identification rate in abnormity, and light supplementary lamp fault detection is conducted. The electronic police system light supplementary lamp fault detecting method based on the image abnormities is simple in implementation, an algorithm is easy to conduct, the detection accuracy and operability are high, no hardware is added, the operation efficiency of the system is not influenced, a large amount of manpower, material resources and financial resources are saved, the maintenance cost is reduced, and the using prospect is quite wide.

Description

1. Technical field [0001] The invention belongs to the field of computer-applied intelligent traffic, in particular to the field of computer image processing, in particular to a fault detection method for a supplementary light of an electronic police system based on an abnormal image. 2. Background technology [0002] In recent years, with the rapid development of social economy and the increasing urban population, the number of motor vehicles has increased rapidly, resulting in very obvious traffic congestion and a significant increase in traffic accidents. It has occurred, causing a large number of casualties and property losses every year, and causing serious problems to the country, society and families. In order to regulate the driving behavior of drivers and reduce the occurrence of traffic accidents, many cities are now establishing electronic police systems at intersections. [0003] The electronic police system is to install a 5 million (or 2 million) pixel high-def...

AI Technical Summary

Problems solved by technology

There are two main types of LED fill light failures: 1) The light of the fill light is weakened, usually because a small number of lamp beads in the fill light are broken, which weakens the light of the fill light; 2) The fill light is not bright, usually the fill light The beads are all burnt out or the control board of the fill light is damaged

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