| Autor: |
V. Gopinath, G. Bhavani, G. Uday Sai, G. Chandana |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal for Research in Applied Science and Engineering Technology. 11:3167-3172 |
| ISSN: |
2321-9653 |
| DOI: |
10.22214/ijraset.2023.50701 |
| Popis: |
The Aim of Our project is to Focus on Late Responses By Emergency Services During the time of Road Accidents Which Leads to Death of Many lives, Where to Culminate this Apart , Our Project Majorly Focuses On Gathering Images and Informative Selection, Location Trackingand Transferring Notification. Though traditional machine learning approaches Had been outperformed by feature engineering methods which can select an optimal set of features. On contrary, Modernly it is known that deep learning models such as Convolutional Neural Networks (CNN) can extract features and it ables to reduce the computational cost automatically. The proposed implementation increases the survival rate by meager percentage. Efficient computation occurs when the algorithm utilizes the maximum GPU and the right functions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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