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The proposed shopping assistant model SANIP is going to help blind persons todetect hand held objects and also to get a video feedback of the informationretrieved from the detected and recognized objects. The proposed model consistsof three python models i.e. Custom Object Detection, Text Detection and Barcodedetection. For object detection of the hand held object, we have created ourown custom dataset that comprises daily goods such as Parle-G, Tide, and Lays.Other than that we have also collected images of Cart and Exit signs as it isessential for any person to use a cart and also notice the exit sign in case ofemergency. For the other 2 models proposed the text and barcode informationretrieved is converted from text to speech and relayed to the Blind person. Themodel was used to detect objects that were trained on and was successful indetecting and recognizing the desired output with a good accuracy andprecision.

SANIP: Shopping Assistant and Navigation for the visually impaired