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Deep learning based OCR on extracting price details of the products and then merging other features from the CSV dataset to give optimal retail solutions. We divided the problem into two sub problems. Extracting the products in the shelf Extracting the information from the price tag Extracting the products from the shelf 1. Template Matching with Contour Detection 2. Features matching using deep net model, Inception Extracting the information from the price tag 1. Tessaract OCR model for text extraction 2. ReInspect TensorBox model (Deep Net model for price tag detection and extraction)

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