Car Damage Mask RCNN-Reference-Cited by-同舟云学术

Car Damage Mask RCNN

Published:2022-06-24 Issue: Volume: Page:636-641
ISSN:2581-9429
Container-title:International Journal of Advanced Research in Science, Communication and Technology
language:en
Short-container-title:IJARSCT

Author:

Dhanushree M ¹,Arunkumar K L ¹

Affiliation:

1. JNN College of Engineering, Shimoga, India

Abstract

The most challenging task is to detect the vehicle damage using a picture. In this proposed project vehicle damage detection using mask zonal convolutional neural network is to estimate of the damaged area of the car. Using higher technology like computer vision and machine learning the car damage detection with masking can be performed. Consider the situation of the accident place, the user can just send the photo of their damaged car and the company will upload the image to the computer, the computer will show the picture of damaged region with masking. Using higher mechanization like sighting system exp and machine learning will help to noticing the car damage detection with masking.

Publisher

Naksh Solutions

Subject

General Medicine

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