Creating a Color Detector: a Fun Project

EasyChair Preprint 12520

Abstract

The aim of this abstract is to provide an overview of the project titled "Creating a Color Detector: A Fun Project." The project involves the development of a color detection system that utilizes computer vision techniques to identify and classify colors in real-time. The primary objective of the project is to offer an engaging and educational experience for individuals interested in exploring the fields of computer vision, image processing, and machine learning.

The color detector project involves the use of a webcam or a camera module to capture live video feed. The video frames are then processed using various image processing algorithms to extract color information. The project focuses on implementing computer vision techniques, such as color segmentation and feature extraction, to accurately detect and classify different colors within the captured frames.

The development process includes several key steps, such as image acquisition, preprocessing, color space transformation, color segmentation, feature extraction, and color classification. It also involves the utilization of popular libraries and frameworks, such as OpenCV and Python, to facilitate the implementation of computer vision algorithms.

Keyphrases: Colour, building, detector

@booklet{EasyChair:12520,
  author    = {Favour Olaoye and Kaledio Potter},
  title     = {Creating a Color Detector: a Fun Project},
  howpublished = {EasyChair Preprint 12520},
  year      = {EasyChair, 2024}}