Description

Abstract:

          In this paper we going to make robot for monitoring the family activities and also to monitor the health of our family. In view of the present family security coefficient and poor family environment information control were complicated, family members can’t access to environmental information conveniently, this paper proposed a ARM cortex series nuclear core processor used in the Internet of things of the family embedded robotic system, by used the 802.11 g and TCP/IP, HTTP to realize the infinite distance signal transmission, and adopted the H264 video coding scheme for real-time monitoring of video image signal coded, and decoded RTP/RTCP for video streaming transmission, and used C/S architecture, B/S architecture, the designer of the database with the server to ensure that the family monitoring data stored and displayed in real time, and used SSH protocol to ensure that the remote control and the safety reliability of the robot. By the experimental results, the feasibility of the scheme was verified, which had a good effect of monitoring.

Existing System:

•  In view of the present family security coefficient and poor family environment information controls were complicated, family members can’t access to environmental information.
•  We will analyze the family information by use the images.

 

Proposed System:

• Internet of things of the family embedded robotic system we used to monitor family in through video streaming.
• SSH protocol to ensure that the remote control and the safety reliability of the robot.

Block Diagram :

               

            In this block diagram we have number of nodes like Sensor node, controller node and controlling Node.

            In this sensor node we have to monitor the health of our family and send to the data from the controller Node. And this controller node we going to take the video streaming and send via the IoT to the mobile phone and monitoring node by using the android application we watch and monitor the video and we control via the mobile application.

Tools:

Hardware Tools:

•   Raspberry Pi
•   Motor
•   Blub
•   Fan
•   Gas sensor
•   LDR
•   Temperature sensor

Software Tools:

• Raspbian OS
• Mobile Application