Wlkata Mirobot deep learning garbage sorting line

Brand : Wlkata

Product Type : WLkata robot arm application solutions

$3,680.00

Availability : 10 In Stock

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Subtotal : $3,680.00

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	900mm400mm600mm
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