| Title |
Smart City Vehicle Accident Monitoring and Detection System Using (MEMS, GSM, GPS) Raspberry Pi 4 |
| ID_Doc |
35846 |
| Authors |
Kumar, A; Akhtar, MAK; Pandey, A; Srivastava, RP |
| Title |
Smart City Vehicle Accident Monitoring and Detection System Using (MEMS, GSM, GPS) Raspberry Pi 4 |
| Year |
2023 |
| Published |
Iete Journal Of Research, 69, 11 |
| DOI |
10.1080/03772063.2022.2043787 |
| Abstract |
This study is focused on the concept of the Internet of Things (IoT)-based smart city model on Raspberry Pi. It assesses the design and implementation of a smart city based on the Internet of Things using Raspberry Pi. The main aim is to develop an urban IoT system that will aid in the realization of a smart city while also resolving domestic issues using Raspberry Pi. Raspberry Pi is an essential component of the smart city model's implemented system. The concept of the IoT helps analyze the functions used to define the functions of Raspberry Pi. By considering the developing country such as India, IoT plays an essential role in building a smart city model. In this work, the different low-cost operations have been analyzed based on the functions of Raspberry Pi for the smart city model. |
| Author Keywords |
Internet of things; Low-cost operation; Raspberry Pi; Smart city model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000771259700001 |
| WoS Category |
Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Engineering; Telecommunications |
| PDF |
|