Tourist Guide via Image Processing Techniques

Pakistan Journal of Engineering & Technology

Syed Muhammad Nabeel Mustafa¹  Rabia Noor Enam²  Rehan Qureshi³  Hasan Shahid³  Muhammad Tahir³ 

[1] NED University of Engineering and Technology;Sir Syed University of Engineering and Tchnology;Sir Syed University of Engineering and Technology;

关键词: Convolutional Neural Network (CNN), Image Processing, Image Recognition;   

DOI  :  10.51846/vol4iss2pp144-148

来源: DOAJ

【 摘 要 】

To achieve the goal of identification, image processing and recognition is performed on the actual picture transformation. The amount of information included in an image is enormous because it is a two-dimensional space. Neural network image recognition is a new type of picture recognition technology developed by modern computer innovation. In this paper we have used neural network to implement image-based location identification. Using the image data, we have evaluated our proposed model’s predictive performance. By including more hidden layers in the convolution neural network, it is feasible to improve the network's training speed and reliability by having a large amount of data. However, 80% of the dataset is used for training and the remaining 20% is used for testing in our studies. The preliminary findings have shown that using a neural network to detect photos is both successful and practical. The proposed methods serve as a guide for travelers or tourists who are unfamiliar with a country. They simply need to point the camera at any historical or well-known location to learn more about it.

【 授权许可】

Unknown