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The project presents a pioneering fusion of robotics and computer vision. Its core objective is to equip a robotic arm with the ability to recognize and interact with objects based on their colour and shape attributes, akin to human vision. This endeavour commences with the careful selection or design of a robotic arm platform, enhanced by high-resolution cameras and advanced sensors. These elements empower the arm to capture detailed visual data from its surroundings. The heart of the project lies in image processing. State-of-the-art algorithms translate this visual data into actionable insights, allowing the robotic arm to perform real-time colour and shape detection. This newfound capability endows the arm with a form of intelligence that enables it to adapt and respond dynamically to changing scenarios. Control algorithms, meticulously crafted, bridge the gap between perception and action. They empower the robotic arm to execute precise tasks, from pick-and-place operations to quality control, guided by the information derived from image analysis. The potential applications of this technology span diverse industries, including manufacturing, logistics, agriculture, healthcare, and education. It represents a significant leap toward a future where robotics and computer vision converge, ushering in an era of intelligent automation and collaborative human-robot interaction.
Keywords:
Color and Shape Detection AI (Artificial Intelligence), Robotics, Computer Vision, Robotic Arm, Image Processing.
Cite Article:
"Implementation of USB web camera to a robotics arm to follow color, shape and size of object ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 5, page no.230 - 238, May-2024, Available :http://www.ijrti.org/papers/IJRTI2405034.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator