Luggage detection and approval in Airports using CBIR (Content based Image retrieval)

1. We have collected luggage dataset from google
2. We are Extracting the features and stored in file called “dataset.csv”
3. Input image is taken
4. Find the object using Coco model (object detection), we identified Luggage objects
5. Cropped the image and stored separately
6. Object is compared with the data set features and using CBIR, we arrive score level
7. If the objects score are <=10, we approved the luggage
8. Similarly done for video
9. Video is taken frame by frame and for every frame it is identified.


Python Demo

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