Notice Board is primary thing in any institution
or public utility places like bus stations, railway stations,
colleges, malls, etc. But sticking various notices day to day is
a difficult process. A separate person is required to take
care of this notices display. This project is about advanced
wireless notice board. The project is built around ARM
controller raspberry-pi which is heart of the system. Display
is obtained on project tor. A Wi-Fi is using for Data
transmission. At any time we can add or re- move or alter
the text according to our requirement. At transmitter
authorized PC is used for sending a notices. At receiving end
Wi-Fi is connected to raspberry pi. When an authorized
user sends a notice from his system, it is received by
receiver. Wireless is a popular technology that allows an
electronic device to exchange data wirelessly over a
computer network, including high speed wireless
connections. The data is received from authenticated user.
Then it sends to arm 11 that is raspberry pi.
Jadhav Vinod : Computer Department, University of Pune,
Gescoe Collage of Engineering
Nashik, Maharastra – 422005
Nagwanshi Tejas : Computer Department, University of Pune,
Gescoe Collage of Engineering
Nashik, Maharastra – 422005
Patil Yogesh : Computer Department, University of Pune,
Gescoe Collage of Engineering
Nashik, Maharastra – 422005
Patil Deepak : Computer Department, University of Pune,
Gescoe Collage of Engineering
Nashik, Maharastra – 422005
Android System
Web Server
Raspberry pi
Card
Electronics Component
Thus raspberry-pi being a small yet powerful device can
work efficiently in digital notice board connected with
softwares. Hence Webserver can provide user with real
time actual data which can be used application.
[1] Li, J., Da-You, L., and Bo, Y., “Smart home research,
”Proceedings of the Third International Conference on
MachineLearning and Cybernetics, vol. 2, pp. 659–
663, Shanghai, 26–29 August 2004.
[2] Choi, J., Shin, D., and Shin, D., Research on Design
and Implementation of the Artificial Intelligence
Agent for Smart Home Based on Support Vector
Machine, Berlin/Heidelberg: Springer, p. 417, 2005.
[3] Li, B., Hathaipontaluk, P., and Luo, S., “Intelligent
oven in smart home environment,” International
Conference on Research Challenges in Computer
Science (ICRCCS ’09), pp. 247–250, Shanghai, 28–29
December 2009.