Design and implement of the entire indoor positioning system. The handheld device (e.g. iPad Pro) regularly captures images and compresses. Then, the compressed pictures are sent to the server via HTTP Request. After receiving the pictures, put them into the recognition model which is trained by neural network. When getting the recognition result, and finally send the result back to the handheld device through HTTP Response for corresponding location presentation.