This application, object detection of traffic signs in Turkey was carried out using the deep learning method.Tensorflow Lite, an object detection model for mobile devices, was used. Using the camera, the mobile device was able to identify ten specified objects.(pedestrian crossing, give way, traffic lights, etc.) We also calculated the direction in which these objects are in the form of left,right,front according to their position.After the application was completed, tests were performed in the actual environment.The app was able to detect the location of the specified objects and gave the user detailed information via voice.
erdituna / android-turkeytraffic-sign-detection Goto Github PK
View Code? Open in Web Editor NEWIn this project, object detection of traffic signs in Turkey was carried out using the deep learning method.Tensorflow Lite, an object detection model for mobile devices, was used. Using the camera, the mobile device was able to identify ten specified objects.(pedestrian crossing, give way, traffic lights, etc.) We also calculated the direction in which these objects are in the form of left,right,front according to their position.After the application was completed, tests were performed in the actual environment.The app was able to detect the location of the specified objects and gave the user detailed information via voice.