Submit your paper : editorIJETjournal@gmail.com Paper Title : ANDROID BASED INTERNAL CAMPUS NAVIGATION SYSTEM ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.6607809 MLA Style: - Mr. Gowthaman.V, Jayanth.M, Naveenkumar.B, Naveenkumar.T, ANDROID BASED INTERNAL CAMPUS NAVIGATION SYSTEM , Volume 8 - Issue 3 May - June 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: - Mr. Gowthaman.V, Jayanth.M, Naveenkumar.B, Naveenkumar.T, ANDROID BASED INTERNAL CAMPUS NAVIGATION SYSTEM , Volume 8 - Issue 3 May - June 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract A college campus may be very large or it may have many buildings. New students and parents will face trouble to find the exact places in the college where the different blocks are located. To make easier for the new comers we developed an application to find the route map inside the campus for the various locations with voice alert using the android system. The voice alert system gives the detailed information about the places that we search in the application, hence this application will be useful for visually impaired people also. Android navigation based technology enables the provision of variety of information such as root and location of campus in the navigation field. In our project we give the route without using GPS and its gives the exact ouput. We also use Visual Trace Method (Marker method and Marker less Method) especially for the visually impaired visitors. A visual traceroute provides image of the hops involved in one or additional traceroute paths wherever a error was detected. The visual traceroute acts as a map, showing all the paths, such as routers and switches, that data packets pass, or hop through, on their way to their destination. For the Visual Trace Method, the marker installation and digital information should be assigned while the Non-visual Trace Method requires the use of phones. Most of the ideas can only show the path from a user’s current location to their destination. Our idea, the design and implementation of an augmented reality program is discussed. Provides useful, informative, android based solution for navigation inside a campus, which will contain all the necessary details, to ensure that it is easy, accurate navigation and identification of various buildings, departments and help the visitors to reach their desired location without any manual or guide assistance. The main goal is to provide information regarding the current location of the museum, distance to reach the destination as well as provides the exact path to the visitors. Reference [1] Xianhua Shu; Zhenjun Du; Rong Chen,” Research on Mobile Location Service Design Based on Android” In Proceeding of the 5th international conference on Wireless Communications, Networking and Mobile Computing, Dalian, China, september 2009 [2] Lu, E.H.-C.; Chia-Ching Lin; Tseng, V.S.,”Mining the Shortest Path within a Travel Time Constraint in Road Network Environments”,in proceeding of the 11th 1 st International Conference on Recent Trends in Engineering & Technology, Mar-2012 Special Issue of International Journal of electronics, Communication & Soft Computing Science & Engineering, ISSN: 2277- 9477 89 International IEEE Conference on Intelligent Transportation Systems, Tainan, October 2008. [3] Tianhe Zhang, Rose, R. Dahan, J., Multiphase strategies for improving accuracy in a voice search application, in proceeding of the 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), March 2010 . [4] P. E. Hart, N. J. Nilsson, and B. Raphael. A Formal Basis for the Heuristic Determination of Minimum Cost Paths. IEEE Transactions on Systems Science and Cybernetics, Vol. SSC-4, No. 2, pages 100-107, 1968. [5] M. Halvey, T. Keane, and B. Smyth. Predicting Navigation Patterns on the Mobile-Internet Using Time of the Week. In Proceeding of the 14th international conference on World Wide Web, pages 958-959, Chiba, Japan, May 2005. [6] H. Gonzalez, J. Han, X. Li, M. Myslinska, and J. P. Sondag. Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach. In Proceeding of the 14th international conference on Very Large Data Bases, Vienna, Austria, September 2007 [7] http://code.google.com/android/add.ons/googleapis/map key.html [8] http://code.google.com/android/maps-api-signup.html Books. [9] Jerome (J.F.) DiMarizo ,“Android: A programmers guide” . [10] Burnette, E. (2009) Hello, Android: Introducing Google’s Mobile Development Platform, 2nd Edition, The Pragmatic Bookshelf. Keywords - College Campus, Visual trace method, Navigation, Route Path. |