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ABSTRACT
Introduction: Color identification plays a vital role in enhancing human-computer interaction and enriching user experiences. so This abstract delves into the significance of color identification, its applications, and the transformative impact it has on diverse fields.
Precision in Color Recognition: The core of color identification lies in its ability to precisely recognize and categorize colors within an image. so Through the implementation of sophisticated algorithms, the system distinguishes subtle variations, ensuring accuracy in identifying an extensive range of colors.
Applications in Accessibility: so One of the primary applications of color identification is in enhancing accessibility for individuals with visual impairments.
Design and Branding Optimization: Thus In the realm of design and branding, color identification proves invaluable. Designers and marketers leverage this technology to ensure both consistency and accuracy in color schemes, facilitating brand recognition and promoting aesthetically pleasing visual content.
Automation in Industry: Color identification finds extensive use in industrial automation, where it plays a crucial role in quality control and sorting processes. so From manufacturing lines to product packaging, the system’s ability to swiftly and accurately identify colors contributes to increased efficiency and reduced errors.
Integration with Smart Devices: With the proliferation of smart devices, color identification seamlessly integrates into various applications, such as augmented reality and virtual try-on experiences. This not only enhances the user interface but also opens new avenues for interactive and immersive technologies.
Conclusion: In conclusion, color identification stands at the forefront of technological innovation, driving advancements in accessibility, design, and industrial automation.
Algorithm:
Image Capture: The first step is to fetch a high-quality image with resolution. To load an image from a file we use Cv2.imread(). For Example: If the intensity value of the colors is 0, this combination corresponds to black. If the intensity value of the primary colors is 1, this
combination corresponds to white.
Index= [ “color”, “color_name”, “hex”, “R”, “G”, “B”]. This function calculates the minimum distance from the coordinates. The pandas library serves as an important utility to perform various operations on comma-separated values. We need to read the csv file
and upload it into the pandas data frame.
text=getColorName(r,g,b) + ‘R=’+str(r) + ‘G=’+str(g) + ‘B=’ +str(b).
Figure : Architecture diagram for color detection
