myCobot artificial intelligence kit is an entry-level artificial intelligence suite integrating vision, positioning and grabbing, and automatic sorting modules. Based on the Linux system, build a 1:1 simulation model in ROS, which can realize the control of the robotic arm through the development of software. It is simple and easy to learn. It can quickly learn the basics of artificial intelligence, inspire innovative thinking, and comprehend the open-source creative culture.
The suit has good scalability and high openness and can be used for multiple purposes. It is easy to use the training platform of colleges and universities, the construction of robotics disciplines, the robotics laboratory, or personal learning and use.
Features
Eye-in-hand
Ruco code detection and tracking: precise positioning and calibration of the camera, and automatic capture.
Eye-on-hand
Color and image recognition: Using deep learning algorithms, users can use robotic arms to complete positioning, grabbing, and automatic sorting.
What can you learn?
- Ros
- Opencv
- Python programming
- 6 DOF robot control principle
- End-effector control
- AI machine vision and artificial intelligence
- LCD display control
- Smart sensor detection (color, image, aruco code)
Rich teaching Demo, intuitive and efficient
With rich teaching demos such as color recognition, image recognition, and aruco code recognition, it helps users to understand the basic composition and working principle of the robot artificial intelligence vision kit more clearly and intuitively.
| Vision modules |
|
| Name |
USB distortion-free lens |
| Size |
18X18X20mm |
| Maximum pixels |
1 megapixel 1280X720 |
| Image format support |
YUV, MJPEG |
| Pixel size |
3.4umX3.4um |
| Maximum frame rate |
1280x720 @ 25fps |
| USB protocol |
USB2.0 HS/FS |
| Resolution |
1280X720, 640X480, 320X240 |
| Power input |
DC5V 90mA |
| Field of view |
Approx. 60° |
| Lens focal length |
1.7mm |
| Systems supported |
Win7/8/10, Linux, MacOS |
