With the increasing population, the amount of
vehicles is increasing considerably in metropolitan areas. The
world is developing towards a smart living approach. Smart
cities are a new and very effective concept highlighting the use
of technology. The parking management in a metropolitan area
becomes very difficult as there is lack of knowledge of proper
parking space. For example, in cities such as Pune, Mumbai
there are numerous vehicles used daily, therefore managing
these vehicles’ parking at personal level becomes a challenge.
One aspect of the solution is parking management. The vehicles
parking management will utilize the available space and avoid
unnecessary parking problems. The user will only need to
download this app and click button to find nearest location for
parking. The security of vehicle is ensured and user's data while
registering remains safe. ParkSmart is a thoughtful approach
that will increase user's convenience.
Supriya Gatalwar : Department of Computer Science,
Savitribai Phule Pune University,
Pune, India
Radhika Agnihotri : Department of Computer Science,
Savitribai Phule Pune University,
Pune, India
Nitesh Gujarathi : Department of Computer Science,
Savitribai Phule Pune University,
Pune, India
Atmesh Behere : Department of Computer Science,
Savitribai Phule Pune University,
Pune, India
Application (app)
Global Positioning System
(GPS)
Android
This paper summarizes an efficient way to park a vehicle
using recent technology. This app allows the user to take
control of the parking decision unlike traditional method
of trying several parking spaces physically. Usage of this
app at large scale would benefit user even if a user is in new place. The app is user friendly and handy so people
of all age groups can use it easily.
[1] H. Moon and P. J. Phillips. Analysis of PCA based
face recognition algorithms. In K W.Bowyer and P. J.
Phillips, editors, Empirical Evaluation Techniques in
Computer Vision. IEEE Computer Society Press, Los
Alamitos, CA. 1998.
[2] R. Chellappa, C. Wilson, and S. Sirohey, Human and
Machine Recognition of Faces: A Survey, Proc. IEEE,
vol. 83, no. 5, pp. 705- 740, 1995.
[3] Turk M. and Pentland A., Eigenfaces for Recognition,
Media Labs, M.I.T.
[4] Raphael Feraud, Olivier Bernier, Jean Emmanuael
Viallet, and Michel Collobert. A Fast and Accurate Face
Detector for Indexation of Face Images. In International
Conference on Face and Gesture Recognition. IEEE,
March 2000
[5] K. Sobottka and I. Pitas, Face localization and feature
extraction based on shape and color infor-mation, Proc.
IEEE Intl Conf. Image Processing, pp. 483-486, 1996.