Research on Vision-based Intelligent Vehicle Safety Inspection and Visual Surveillance

Vehicles´ safety surveillances have been paid more attentions on by the governments with increasingly rampant terrorist activities like car bombing attacks and illegal immigrations. Lots of terrorists may hide the bombs under the vehicles to avoid the searches by the workers. Illegal immigrants usually adopt the same tricks. Hence, vehicles´ bottom will be one of the most important searching places in the safety inspection. However, traditional bottom inspections are accomplished manually with hand-held security mirrors. This method has poor efficiency, limited searching areas, unbearable reliability and large consumption of human resources. So computer vision and intelligent transportation technologies are led into the safety inspections and surveillances according to these critical defects. Line scanned and area scanned CCD cameras are trigged by the vehicle detection apparatus to grab images of the vehicles´ bottom and license plates respectively. These images will be processed by the industrial computers real-timely. Sounded alarms can remind the workers there are existing doubtable foreign goods under the bottom. The experimental results indicate preliminarily that the proposed method not only have good performances on detection rate and low false alarm rate, also can improve the reliability effectively.