real-time image capturing system for car plate recognition

49recognition process. In order to improve the system, there are few recommendationsare suggested so that the system can capture a clear car plate image when a vehicle isappear and approaching to the camera lens.First and foremost, a hardware triggering device such as sensor can be addedassociate with real-time video streaming from Basler IP camera. When there isvehicle approaching to the camera lens, a weight sensor can be used to activate thedeveloped application to start the real-time image capturing process. As the result,the system will only start to capture license plate when a vehicle is approaching untilspecific distance from camera lens. So only the images that consist of license plateimage will be saved during real-time image capturing. The system will terminate theimage capturing process automatically when there is no vehicle detected by theweight sensor.Besides using the hardware sensor, it can also detect the existence of vehicleby modify C++ source code of the developed application. Detection of frame pixelchanging technique can be added into the source code to enhance the system in termof image capturing process. For example, when vehicles are appeared in the video,pixel of the frame will be changed and different with default pixel value of thebackground location. This changing will activate the image capturing process so thatthe system will start image capturing process when vehicles appear in the videoframe. Hence only clear images that consist of license plate will be captured by thesystem at the targeted location.By applying the recommendations mentioned above, data redundancyproblem can be resolved easily and then improve efficiency of real-time imagecapturing system for car plate recognition in the future project development.