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
