000 02516nam a22001937a 4500
003 OSt
005 20220107122839.0
008 180529b xxu||||| |||| 00| 0 eng d
040 _cIIITMK
100 _aDhanya P R (93616014)
_914169
245 _aTracker solution for old age homes
300 _aMSC CS 2016-2018
500 _aThe IoT depends on a whole host of technologies such as application programming interfaces (APIs) that connect devices to the Internet. Other key IoT technologies are Big Data management tools, predictive analytics, AI and machine learning, the cloud, and radiofrequency identification (RFID). Cloud-based IoT platforms and architecture connect the real and virtual worlds. They help companies manage IoT device connectivity and security – as well as collect device data, link devices to backend systems, ensure IoT interoperability, and build and run IoT applications. One of the biggest benefits of the IoT is the efficiency it can offer. Many companies are using it to automate business and manufacturing processes, remotely monitor and control operations, optimise supply chains, and conserve resources. In this work we are proposing a tracking and monitoring system based on IoT which is capable of sending sos message with information such as location, device id, type of service etc. It is simply a handheld device with emergency switches, GSM/cellular connectivity and GPS+GNSS module. The switch will send message to necessary services like police, ambulance and support services such as food and medicine. This project is intended to develop a web backend for the proposed system which provide interactive api for users, must provide an administrator privilege account and automatic tracking and updating of device and location. The device is powered by our embedded OS and connected to our backend that provide the requirements.The IoT connectivity is achieved by GPRS module along with Real Time Operating System. The periodic report like a battery, range, location from corresponding sensors should be uploaded to the server. To employ encryption and authentication, adopted Public key cryptography which makes the data highly secure. The data is encrypted and send to server. In server the data is decrypted. The decrypted data then parsed and send to django backend in json format.
502 _bMSC CS
_c2016-2018
_dINT
_eDr. Tony Thomas
650 _aIOT TECHNOLOGY
_914170
650 _aBIG DATA
_914171
650 _aGPS / GPRS MODULE
_914172
942 _2ddc
_cPR
999 _c6081
_d6081