Creating A Python Algorithm for A Robot to Identify RGB Colours of A 2D Captured Image

Appurva Jain; Rahul  Singh; Pawan Kumar; Ruchika Bhakhar; Manish Kumar

doi:10.70454/IJMRE.2024.40401

Authors

Appurva Jain K. R. Mangalam University, Gurugram, India Author
Rahul Kumar Singh K. R. Mangalam University, Gurugram, India Author
Pawan Kumar COER University, Mathura, India Author
Ruchika Bhakhar K. R. Mangalam University, Gurugram, India Author
Manish Kumar K. R. Mangalam University, Gurugram, India Author

DOI:

https://doi.org/10.70454/IJMRE.2024.40401

Keywords:

Python Algorithm , Robot , RGB Colours , Image, Google Colab

Abstract

Robots face many problems in identifying RGB colours in captured images, which affects their performance in many applications. These challenges include different lighting, colour matching, constraints, and environment. The same object will appear in assorted colours in different light, making it difficult for robots to identify and distinguish colours. differences, especially in complex scenes. For example, under certain conditions blue and green hues will be remarkably similar to each other, resulting in misclassification. Cheap or poorly calibrated sensors do not detect colour accurately, resulting in inaccurate identification. Additionally, reflections and shadows can alter colour perception, adding another layer of difficulty to accurate colour identification. Calibration, normalization, and machine learning techniques. A simple Python algorithm for colour correction and analysis is here.

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