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Seatbelt-Phone-Violation-Detector

Detecting Seatbelt and Phone violations using AI..How it works, let's see>>

We have done this project using two models:

The first model's task is to detect where is the windshield in the image, as an example see this image:

savedImage

The first model was built using object detection API with pre-trained model named my_ssd_resnet50_v1_fpn. After detecting the windshield, we take the coordinates of the windshield and cut the image and fed it into the second model. source code: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html

The second model's task is to detect the type of violation in the image:

windsheld__0a7f649d-c89b-11ec-92f9-2cf05d25561e The second model was built using image classification pre-trained model named VGG19. You will see the training source code and details in the file Classification.ipynp.

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Classification of Seatbelt and Phone violations using computer vision

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