Design And Implementation Of Information Identification System For Freight Trains Based On CNN

For convenience to improve work efficiency of management in railway transportation,it reduces investment of enterprises in management of freight train.Utilizing related technologies of text recognition,this article has snapshot identification for train carriage information at freight ter minal.It carries out storage management for identification record.This way changes current situation of operators who have manual record of attribute information such as carrying capacity,dead weight,cubage of carriage and enter it into computer for storage in rail weighbridge.Meanwhile it reduces errors occurring in recording carriage information for manual operation.The system implemented in this article can effectively record and manage carriage information,and greatly reduce intervention from human factors.Meanwhile,it also reduces the workload of operato rs on duty for rail weighbridge and human input from enterprises to this work.This article implements a complete identification system aimed at the information of freight train utilizing the equipment such as camera and photoelectric sensor.The method of controlling the snap photograph of the carriage character in the freight train is implemented by combining the characteristics of the gap between the carriages of the train on journey with a couple of photoreceptor sensor.It takes the snap photograph about the character information on either side of the carriage by taking advantage of multiple cameras that are deployed in the spot.Comparing the identification results of the character images which have different quality so that the efficiency of the character recognition can be improved.The recognition results include the information such as train type,carriage number,carrying capacity,dead weight,cubage,width and height and change length.The system also uses Radio Frequency Identification(RFID)communication technology to complement the identification results.Combining with the mature video surveillance means,it can have slow-motion playback for video during passing rail weighbridge when sensors or identification functions break down.Operators on duty supplement information of train number and carrying capacity based on video playback.In the text recognition section,the identification of freight train carriage character information is studied.As the text has the characteristics of discontinuous strokes,large interval between strokes and serious corrosion by environmental factors in this application scenario.Utilizing the traditional template matching or geometric feature extraction can not achieve a good recognition effect.Instead,the Convolutional Neural Networks(CNN)trained by a large number of image samples is selected for identification in this article.The image segmentation processing use the Suzuki algorithm to determine the text area by extracting the contour of the original image.The result of contour extraction is horizontally projected using the edge information of the character area.The traversal template that combines with fixed aspect ratio of the character segmented the text image to a single text image.Through the actual examination of the system,the system and the identification method used in this article can quickly and accurately identify the character information in the specified scenario,the identification effect of carriage information can meet the application standards.