Forest fire detection system using IOT
| dc.contributor.author | Hule, Shraddha | |
| dc.contributor.author | Shaikh, Afroz Rafique (17EE01) | |
| dc.contributor.author | Nalawade, Apurna Ankush (18DEE19) | |
| dc.contributor.author | Patil, Darshana Devaba (18DEE20) | |
| dc.contributor.author | Shaikh, Ansal Aamir (15EE37) | |
| dc.date.accessioned | 2021-11-22T05:06:21Z | |
| dc.date.available | 2021-11-22T05:06:21Z | |
| dc.date.issued | 2021-05 | |
| dc.description.abstract | In recent days, satellite-based surveillance gadget is used to notice wooded area hearth however this works when fireplace is unfold in the massive area. So these methods are no longer efficient. According to a survey, about 80% losses are accumulated in the woodland due to the late detection of fire. To overcome this two, we proposed a new method to predict and the fire at early stages . In our proposed method the hardware kit with temperature , soil moisture and humidity sensor is connected to the Mobile and it is deployed in many places in the forest area. The Mobile is connected with the Internet . The details collected using sensor is upload with the fixed interval time. Then this data is uploaded to the cloud application. If the forest temperature is increased abnormally this will detect send notification to the forest authorities then the fire alarm will rung .It can also predict the fire that will be occur in future by using machine learning . This can be used in all kind of forest and considering the effectiveness of the sensors it be also used in industrial areas. | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3750 | |
| dc.language.iso | en | en_US |
| dc.publisher | AIKTC | en_US |
| dc.subject | Project Report - EE | en_US |
| dc.title | Forest fire detection system using IOT | en_US |
| dc.type | Project Report | en_US |