dc.contributor.author |
Chaya, S. |
|
dc.contributor.author |
Ansari, Mohd. Afzal (15DET52) |
|
dc.contributor.author |
Sahibole, Saifullah a. (13ET40) |
|
dc.contributor.author |
Sawant, Vaibhav W. (13ET42) |
|
dc.contributor.author |
Shaikh, Mohd. Afzal Ahmed (13ET53) |
|
dc.date.accessioned |
2019-04-05T11:19:45Z |
|
dc.date.available |
2019-04-05T11:19:45Z |
|
dc.date.issued |
2018-05 |
|
dc.identifier.uri |
http://www.aiktcdspace.org:8080/jspui/handle/123456789/2894 |
|
dc.description.abstract |
The major goal of this project is to make use of the basic concept of IoT for Smart Parking
System in smart cities. The services provided by the smart parking can be constitutive part of a
basic IoT operational platform for smart cities due to its features and bene ts. The increasing
population and there needs increases the number of vehicles on the road. Mismanagement
of available parking space has resulted in parking related problem. There is a need of secure
system which can lead us for the availability of parking space and its location. To implement
such system we use raspberry pi as a controller and opencv for image processing. The camera
will capture the parking area and this system will compare the vacant slots in parking area and
sends the information to the users using the concept of IoT with the help of the application
or web browser. This will help to save the time of user and also help in proper parking
management.
Keywords: IoT (Internet of Things), Raspberry Pi, OpenCV, Canny Edge Detection,
Contours. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
AIKTC |
en_US |
dc.relation.ispartofseries |
Accession # PE0310;; |
|
dc.subject |
Project Report - EXTC |
en_US |
dc.title |
Smart parking system based on IoT |
en_US |
dc.type |
Project Report |
en_US |