Colour Detection and Segmentation based Invisible Cloak

This research paper presents a fascinating project on creating an "Invisible Cloak" effect using Python and Computer Vision techniques. While true invisibility is still a fantasy, our approach leverages Color Detection and Segmentation to achieve a captivating visual illusion. The system identifies the person wearing the cloak and the background colors, then seamlessly blends the person with the surroundings, giving the appearance of vanishing from view. We explore the potential applications in entertainment, augmented reality, and creative visual effects. The methodology is straightforward, utilizing existing computer vision techniques, making it accessible and capable of real-time processing. However, challenges exist, such as sensitivity to lighting and background complexities.

This project aims to creates a magical experience by using an Image Processing technique called Color Detection & Segmentation resulting in false sense of Invisibility in the frame.

OBJECTIVES:
1- Capture & Store background frame using Image Acquisition by Store a single frame before starting the infinite loop
2- Detect the defined color using color detection & segmentation algorithm
3- Segment out the defined colored part by generating mask & applying it on frame
4- Generate the final output to create a magical effect by combining frames together, & remove the unnecessary noise from masks.