Detection of shapes and counting in toy manufacturing industry with help of Phython
J. Uma, P. Yuvarani · 2017
The proposed work focused on detection of shapes of toy and its count in the particular area to segregate the items manufactured in the toy industry for packing. The identification of shapes using Ramer-Douglas-Peucker algorithm in Phython language is a technique implemented with the help of open CV image processing tool. The prototype of the model is developed by giving a sample input image with different shapes as file. The screen in the phython language shows the name of the shapes with its count in the input sample file. The proposed idea may extend in tool manufacturing industry to identify the different shapes of part which is difficult to segregate and consume more man power for the particular process.