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@article{147844,
        author = {Anushika Singh and Gargee Mishra and Jay Patel and Suraj Rasal},
        title = {IOT : SMART ITEM SORTING MODEL},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {11},
        pages = {116-119},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147844},
        abstract = {There is wide variety of products in our daily life and manufacturing of this products are done in many small scale and large scale industries. And nowadays the main difficultly is of sorting the items after the production. As sorting is one of the most important tasks in production line. Due to high turnover arranging of items in industry become a dull process and difficult to achieve consistency in object sorting. Earlier industries used RGB based model to sort the items which leads to many erroneous outcomes due to its certain limitations. As a result, an automated system for sorting is greatly needed to replace the manual sorting system. This type of sorting system will help to sort objects in the industries according to their color, weight, size, shape etc. In this paper we have proposed object sorting which uses raspberry pi 2 (Raspbian operating system) with its inbuilt camera feature used to capture images, conveyer belt and servo motors. We use face detection and open CV (open source computer vision) to implement color detection algorithm.},
        keywords = {IOT,  Item Sorting, Image Processing},
        month = {},
        }