Article

Tom Edison, Albertian Institute of Science and Technology, Kalamassery, Ernakulam; Rohan Paul ,Albertian Institute of Science and Technology, Kalamassery, Ernakulam; Mary Rinsia Y ,Albertian Institute of Science and Technology, Kalamassery, Ernakulam; Omar Sharief ,Albertian Institute of Science and Technology, Kalamassery, Ernakulam

The proposed system is aimed at viewing different online product’s price through object recognition. The system provides list of price of a product by comparing with other websites. Unidentified products can be easily recognised by object recognition just by uploading the picture. Web sites which provide the best price for a product are abundant in internet nowadays. These sites gives the best price by searching the name of the product provided by the user in a search bar. However it would be interesting, if the web application could find best price using the image of the product as input. The proposed web application does the same, enabling the user to upload the image of the product and provide the best price while avoiding unnecessary advertisements and information. Thus the over burden of typing out the exact name of the product is thus reduced. Object recognition is used to identify product. To obtain the information regarding the product, the API’s of different E-commerce sites are taken.