Tourist Guide via Image Processing Techniques

  • Rabia Noor Enam Sir Syed University of Engineering and Tchnology
  • Muhammad Tahir Sir Syed University of Engineering and Technology
  • Syed Muhammad Nabeel Mustafa NED University of Engineering and Technology
  • Rehan Qureshi Sir Syed University of Engineering and Technology
  • Hasan Shahid Sir Syed University of Engineering and Technology
DOI: https://doi.org/10.51846/vol4iss2pp144-148
Keywords: Convolutional Neural Network (CNN), Image Processing, Image Recognition

Abstract

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.

Published
2021-06-30
How to Cite
[1]
R. N. Enam, M. Tahir, S. M. Nabeel Mustafa, R. Qureshi, and H. Shahid, “Tourist Guide via Image Processing Techniques”, PakJET, vol. 4, no. 2, pp. 144-148, Jun. 2021.
Issue
Vol 4 No 2 (2021): Pakistan Journal of Engineering and Technology
Section
Research Articles

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