https://github.com/djdefrag/smartdobot
Automatic Dobot Magician arm using Computer Vision and Machine Learning algorithms
https://github.com/djdefrag/smartdobot
Last synced: 9 months ago
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Automatic Dobot Magician arm using Computer Vision and Machine Learning algorithms
- Host: GitHub
- URL: https://github.com/djdefrag/smartdobot
- Owner: Djdefrag
- Created: 2020-11-17T08:57:28.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2020-11-17T09:07:31.000Z (about 5 years ago)
- Last Synced: 2025-03-26T09:41:44.161Z (10 months ago)
- Language: Python
- Size: 11.7 KB
- Stars: 3
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SmartDobot
Automatic Dobot Magician arm using Computer Vision and Machine Learning algorithms
SmartDobot is an algorithm to automate a Dobot Magician equiped with a camera, to grip objects; it uses Computer Vision and Machine Learning algorithms to achieve this goal. It has been realized using:
---HARDWARE
Dobot Magician with grip
Logitech fixed focus camera
---SOFTWARE
Thonny IDE [v. 3.2.7] & Python [v. 3.7.7]
Sklearn library for ML algorithms
OpenCV library for computer vision utilities
Pydobot2 library for Dobot movements
Other libraries: numpy, pandas, random, serial.tools, time, termcolor
Use this algorithm:
1 - Have a Dobot Magician
2 - Have a Logitech fixed focus camera setted on the Dobot Magician watching floor
3 - Install Thonny IDE (it comes with Python environmet already setted up)
4 - In Thonny: TOOLS > MANAGE PACKAGES || install all libraries
5 - In Thonny: play OpenCV_PositionEstimation.py