Color Detection

Anirudh B

Data Analyst

Artificial Intelligence

Objective: Develop an AI-based color detection system that identifies and classifies colors from images or video streams.

Key Components:

Input: Images or video feeds.

Algorithm: Use machine learning or computer vision techniques (e.g., OpenCV, TensorFlow) to detect colors.

Output: Display detected colors and their respective hex/RGB values.

Steps:

1. Data Collection: Gather a dataset of images with various colors.

2. Preprocessing: Convert images to a suitable color space (e.g., HSV).

3. Color Detection: Implement algorithms to classify dominant colors.

4. User Interface: Create a simple UI to upload images and display results.

5. Testing: Validate accuracy with different lighting conditions and backgrounds.

Technologies: Python, OpenCV, TensorFlow

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Posted Aug 5, 2024

This project involves developing a colour detection system that identifies and categorizes colours in images or video streams.

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