| SMART MIRROR FOR VEHICULAR SYSTEM USING RASPBERRY PI |
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| Author(s): |
| shaikh saima akil, Dipali Vilas Gadakh, Tarulata Sanjay Patil, Divya Borse Rajendra, Prof. M.T. Jagtap |
| ISSN: |
| 2349-6002 |
| Cite This Article: |
SMART MIRROR FOR VEHICULAR SYSTEM USING RASPBERRY PI, International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 5 ,Issue 10 ,Page(s):483-486 ,March 2019 ,Available :IJIRT147730_PAPER.pdf |
| Keywords: |
| Smart Mirror, Raspberry PI, Weather, Time, News, Date, Google map, Camera. |
| Abstract |
| Intelligent mirrors, which continue the works today and will take its place in the future technology, provide both mirror and computer aided information services to its users. Thanks to the micro-controller cards onboard, these systems, which can connect to the internet and take data from the internet, can show this information on the places located on the mirror. In the scope of the study, the developed intelligent mirror system includes the weather information, time and location information, cur- rent event information, user information, and camera image taken from web services using Raspberry Pi 3 micro-controller card. Some equipment can be controlled by voice commands via the microphone on the smart mirror. Internet of Things (IoT) is a concept where an object having the ability to transfer data over a network without the need for human interaction to computer. IoT is known for its advantage that can help simplify people’s everyday routine. It shows the information such as time and date, weather, news updates and navigation in it which continue the works today and will take its place in the future technology, pro- vide both mirror and computer aided information services to its users. In the scope of the study, the developed intelligent mirror system includes the weather information, time and location information, weather condition, news feed, and road map for navigation by using Raspberry Pi 3 micro-controller card. |
| Article Details |
| Unique Paper ID: 147730 Publication Volume & Issue: Volume 5, Issue 10 Page(s): 483 - 486 |
| Article Preview & Download |
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