| Autor: |
Bhaskar, Parumanchala, Mahammad, Farooq Sunar, Sravani, J., Sree, B. Sai, Srujana, S., Likhitha, S. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3028 Issue 1, p1-6, 6p |
| Abstrakt: |
Abstract-In the present days it is compulsory to make insurance to every car. So that whenever there is any accident occurs, we, the people inform to the company and the company will send the person to inspect the car, which are involved in accidents. As, man is involved here then there may be a chance of doing the fraud. So in order to avoid this problem, we are introducing a system, which detects the car damage automatically without involvement of human. To build the system in such a way, we are using the Deep Learning Techniques CNN and VGG16, which detects the car, it also detects whether the car is damaged, at which location the car is damaged and to what extent the car is damaged. This is also very helpful for insurance companies and the repair entities. by using these techniques, we can save time as well as cost. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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