mlsanityData to 14 Oct 2026

GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide

arXiv 2105.13426 ↗First posted 27 May 2021cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

Finding information about tourist places to visit is a challenging problem that people face while visiting different countries. This problem is accentuated when people are coming from different countries, speak different languages, and are from all segments of society. In this context, visitors and pilgrims face important problems to find the appropriate doaas when visiting holy places. In this paper, we propose a mobile application that helps the user find the appropriate doaas for a given holy place in an easy and intuitive manner. Three different options are developed to achieve this goal: 1) manual search, 2) GPS location to identify the holy places and therefore their corresponding doaas, and 3) deep learning (DL) based method to determine the holy place by analyzing an image taken by the visitor. Experiments show good performance of the proposed mobile application in providing the appropriate doaas for visited holy places.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 25 references that are in the map. First posted on arXiv 27 May 2021.

Builds on

5 of 25 references.

References · 5

  1. 2014Deep Learning in Neural Networks: An Overviewcited by 770
  2. 2019Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural networkcited by 33
  3. 2021A Novel CNN-LSTM-based Approach to Predict Urban Expansioncited by 13
  4. 2018Real-Time Human Detection as an Edge Service Enabled by a Lightweight CNNcited by 8
  5. 2020FastVA: Deep Learning Video Analytics Through Edge Processing and NPU in Mobilecited by 6

Built on by

Not cited yet.