Automated Robotic Arm for Object Detection and Classification
A Gashi, Drin Krasniqi, Erjon Shala, Xhevahir Bajrami, Ramë Likaj
- Year
- 2025
- Citations
- 1
Abstract
The creation of an autonomous robotic arm with a computer vision system for object detection and classification based on color and position is the main goal of this project. High precision object detection and manipulation are made possible by the combination of technologies like OpenCV and electrical microcontrollers [1]. Algorithms for image processing help with color analysis and coordinate determination enabling precise hardware-software communication. To increase productivity and decrease human interaction, the project has important applications in material classification, industrial automation, and other logistical activities. This system offers a practical solution for autonomous object identification and manipulation by using a methodical approach to mechanical design and programming. Algorithms for image processing help with color analysis and coordinate determination, enabling precise hardware-software communication. To increase productivity and decrease human interaction, the project has important applications in material classification, industrial automation, and other logistical activities. This system offers a practical solution for autonomous object identification and manipulation by using a methodical approach to mechanical design and programming.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002