Design And Implementation Of Pedestrian Detection System Based On Deep Learning

Pedestrian detection technology is one of the basic technologies in many fields.Such as unmanned vehicles,intelligent video surveillance and human behavior analysis.In the field of intelligent video surveillance,pedestrian detection in real-time and accuracy of the system have higher requirements,but they often have not,in the calculation of the ability of hardware environment,high real-time mean accuracy will be reduced,the high accuracy often need to reduce the real time to get.How to ensure the real-time and accuracy of the system at the same time has become a difficult problem in the intelligent video surveillance system.In recent years,with the continuous breakthrough of deep learning technology,this problem has been solved to a certain extent.As a subfield of artificial intelligence,deep learning technology has achieved good results in computer vision.Pedestrian detection system based on deep learning is one of the intelligent video surveillance systems.It is a system designed and implemented for pedestrian detection under the oil well environment.The system uses the Dark Net framework as the framework used in training and uses the Yolo V2 as a network model used in training.The real scene to provide the video or image data were tagged and training,embedding models trained to four intelligent analysis device in TX1,access to the video data monitoring picture through the network camera,or directly read the video data locally,through model processing by the position information of video images of pedestrians then,the video information and the detection result is transmitted to the Web server,display monitoring screen and test results in the end of the page.The server and deep learning framework are running under the Linux system.Users just need to open a browser to input the IP address of the system,and login the system to do the corresponding operation.The pedestrian detection system based on deep learning can detect the real-time monitoring data and local video data,and achieve real-time and accuracy.The user is easy to operate,and the whole system can be operated only through the browser.The systemcan display video and test results in real time at the webpage end,control whether the system detects and set the destination IP address sent by the test result.