Real Time Color Detection Using Machine Learning Techniques

Author Name : Dr. P. Venkateswara Rao, G. Kalyan, Ch. Hemanth Sai, A. Mahesh Babu, K. Sivaram

ABSTRACT

K-closest neighbors (KNN) are a generally utilized brain organization and AI order calculation. As of late, it has been utilized in the brain organization and computerized picture handling fields. In this review, the KNN classifier is utilized to recognize 12different varieties. These varieties are dark, blue, brown, woodland green, green, naval force, orange, pink, red, violet, white and yellow. Utilizing variety histogram highlight extraction, which is one of the picture handling strategies, the elements that recognize these not entirely settled. These highlights increment the adequacy of the KNN classifier. The preparation information comprises of saved outlines and the test information is acquired from the camcorder continuously.

Index terms – KNN, Color Detection, Open CV, Machine Learning