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About Final Thesis Gbenga Omosekeji-1
This document describes a project to develop an industrial robot vision system using low-cost hardware and computer vision algorithms. The system uses a Raspberry Pi and Pixy camera to perform stereo vision and object tracking. OpenCV, Boost, and TIY (Track It Yourself) software are used for image processing and tracking objects in 3D space. The project aims to enable robots to incorporate visual data from the environment using affordable hardware and algorithms. Tests showed the system was successfully developed and helped improve the author's expertise in embedded systems, robotics, and computer vision.
Detailed Information
| Author: | ['bogdero'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 105 |
| Language: | English |
| Format: | |
| Price: | FREE |
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