车辆检测可以采用埋地线圈检测、红外检测、雷达检测技术、视频检测等多种方式。采用视频检测可以避免破坏路面、不必附加外部检测设备、不需矫正触发位置、节省开支，而且更适合移动式、便携式应用的要求。
Vehicle detection can adopt many methods such as buried coil detection, infrared detection, radar detection technology, video detection, etc. Using video detection can avoid damaging the road surface, no need to add external detection equipment, no need to correct the trigger position, save money, and more suitable for mobile and portable applications.
系统进行视频车辆检测，需要具备很高的处理速度并采用优秀的算法，在基本不丢帧的情况下实现图像采集、处理。若处理速度慢，则导致丢帧，使系统无法检测到行驶速度较快的车辆，同时也难以保证在有利于识别的位置开始识别处理，影响系统识别率。因此，将视频车辆检测与牌照自动识别相结合具备一定的技术难度。
In order to detect video vehicles, the system needs to have a high processing speed and adopt excellent algorithm to achieve image acquisition and processing without losing frames. If the processing speed is slow, the frame will be lost, so that the system can not detect the vehicle with fast driving speed, and it is difficult to ensure that the recognition processing is started at the position that is conducive to recognition, which affects the recognition rate of the system. Therefore, it is difficult to combine video vehicle detection with license plate recognition.