Click the Left/Right arrow to move forward/backward. Click the square button to stop it.
3. Production line simulation
3.1 Color sensor sorting with Scratch and Arduino
We developed a new conveyor belt sensor kit that includes a color sensor and a distance sensor. It allows you to detect items recognize their color and start a sorting project.
3.1.1 Place the Rotrics Production Line Map on your desk.
3.1.2 Place all the items on the indicated location.
3.1.3 Connection
3.1.3 Tuning the sensors' parameters with Arduino IDE
Adjust the color value
Adjust the distance
3.1.4 Download the Scratch program
3.1.5 Start working
3.2 Camera sorting with Python
We prepared two demo projects for you to experience the Rotrics conveyor belt kit. The demo project was programed with Python, make sure you have got some Python programming skills before using it.
Woodblock color sorting with one DexArm.
We put the woodblocks on conveyor belt and DexArm recognizes the color and sort them.
Woodblock color sorting with two DexArms.
One DexArm picks up wood blocks on the conveyor belt and another DexArm recognizes the color and sorts the blocks.
3.2.1 Place the Rotrics Production Line Map on your desk.
3.2.2 Place all the items on the indicated location.
3.2.3 Connection
2.3.1 Connect Conveyor belt to DexArm’s 12-pin port.
2.3.2 Connect Camera Module and DexArm to your computer.
3.2.4 Start working
Choose the demo project and run it with VS Code or any other Python editors.
4. Build your own project.
G-code command to control conveyor belt
Usage
M2012 [F(rate)] [D(direction)]
M2013 - Stop conveyor belt
Parameters
[F(rate)] The maximum movement rate of the move between the start and end point. This rate is separated from the of the speed of DexArm's movement.
[D(direction)]The rotate direction of conveyor belt. 1 for positive, 0 for negative.
Examples:
🧠Note: The speed of conveyor belt is separated from the speed of DexArm.
Camera Operation
We used a 480P camera to recognize color and shape of the items on the conveyor belt. You can import the Cam_dev file to your Python project and use it.
