Wlkata Mirobot deep learning garbage sorting line


WLkata robot arm application solutions

10 In Stock

Title :


Product Parameter
Deep learning garbage sorting line is a visual production line based on OpenCV deep learning. Visual algorithm is used to learn and train to identify different types of garbage. The sorting is realized through communication with the WLAKTA Mirobot.
Teaching Objectives:
1. Master the control and motion principle of industrial six-axis robotic arm through unit learning
2. Deep learning algorithm based on OpenMV's visual learning
OpenCV deep learning parameter
Size 900mm*400mm*600mm
robot arm 1 unit
Conveyor Belt 1unit
Control Jetson Nano
Robot arm parameter
Axis  6+1
Control Arduino
Vertical Payload 450g
Omnidirectional Payload 150g
Control PC/APP/Bluetooth controller/Run offline
Range of motion 320mm(multi-angle at the end)
Scalability Python/Java/C/C++/C#/Ros
Voltage 100 -240 V, 50/60 Hz
Input 12 V/5 A DC
Power 60W 
Temperature -10℃-60℃
Material Aluminum alloy, ABS engineering plastics
Robot arm axis motion parameters
Axis 1 -100°~+100°  max speed 31°/s
Axis 2 -60°~+90°  max speed 65°/s
Axis 3 -180°~+50°  max speed 28°/s
Axis 4 -180°~+180°  max speed 110°/s
Axis 5 -180°~+50°  max speed 33°/s
Axis 6 -180°~+180°  max speed 66°/s

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